Practice Test #3
100問と120分の制限時間で実際の試験をシミュレーションしましょう。AI検証済み解答と詳細な解説で学習できます。
100
100問と120分の制限時間で実際の試験をシミュレーションしましょう。AI検証済み解答と詳細な解説で学習できます。
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Which two use cases are supported by Meraki APIs? (Choose two.)
This option is misleading because it combines location-aware applications with Wi-Fi and LoRaWAN devices in a way that is broader than the standard Meraki API use cases typically tested. Meraki does have location and scanning-related capabilities, but the phrasing here overextends that into a generalized cross-device application-building claim. In exam terms, this is less directly supported than the clearly documented Dashboard management and camera API use cases. Because the question asks for the best two supported use cases, this option is not the strongest correct choice.
Meraki supports splash pages and captive portal configuration, but building a custom captive portal specifically for mobile apps is not a standard Meraki API use case. The platform allows configuration of authentication and splash page behavior, yet it does not present this as a general-purpose API framework for custom mobile captive portal development. The wording suggests a deeper application platform capability than Meraki APIs actually provide. For that reason, this option should be rejected.
This is a core and well-known Meraki API use case. The Dashboard API is specifically designed to configure and manage Meraki organizations, networks, and devices programmatically. Administrators can automate tasks such as claiming devices, creating networks, updating SSIDs, applying firewall rules, and retrieving operational state. That makes configuring network devices via the Dashboard API an unambiguously supported use case.
Meraki devices are managed appliances, not general-purpose compute platforms. The APIs are intended for configuration, monitoring, analytics, and integration with Meraki-managed services rather than deploying arbitrary applications onto the devices themselves. There is no standard Meraki API workflow for pushing custom applications to run on switches, access points, cameras, or security appliances. This makes the option clearly incorrect.
Meraki MV cameras support API-based integrations that allow developers to work with camera video resources, including obtaining links or access related to video/live viewing workflows. Camera APIs are a recognized Meraki integration area and are distinct from general network device management. While the exact mechanism may not be a raw generic stream endpoint in every context, retrieving live camera video access is a supported Meraki API use case. Therefore this option best matches Meraki camera API capabilities.
Core concept: This question tests recognition of practical use cases supported by Cisco Meraki APIs. Meraki provides APIs for cloud-based network management through the Dashboard API and also exposes camera-related capabilities for Meraki MV devices, including access to video resources and integrations. The correct choices are the ones that align with documented Meraki API families rather than capabilities Meraki appliances do not provide. A common misconception is to overgeneralize location analytics wording or assume Meraki devices can host arbitrary applications. Exam tip: when evaluating Meraki API questions, think in terms of management/configuration, telemetry/analytics, and camera integrations—not app deployment or unsupported custom platform behavior.
Refer to the exhibit.
def get_result()
url =”https://sandboxdnac.cisco.com/dna/system/api/v1/auth/token”
resp = requests.post(url, auth=HTTPBasicAuth(DNAC_USER, DNAC_PASSWORD))
result = resp.json()[‘Token’]
return result
What does the Python function do?
Incorrect. The function uses HTTPBasicAuth(DNAC_USER, DNAC_PASSWORD) to authenticate the POST request to the DNAC token endpoint, but it does not return the Basic Auth object or credentials. Basic authentication is only the method used to obtain the token; the returned value is taken from the JSON response body, not from the Basic Auth mechanism itself.
Incorrect. DNAC_USER and DNAC_PASSWORD are variables supplied to HTTPBasicAuth as inputs to the request. The function never returns these values. Instead, it parses the HTTP response JSON and returns the value of the 'Token' field, which is generated by DNAC after validating the provided username and password.
Incorrect. There is no file I/O in the function—no open(), no reading of a JSON file, and no posting of a locally stored token. The token is obtained directly from the DNAC API response to the POST request. The only POST is to the DNAC URL to request a new token using Basic Auth.
Correct. The function posts to the Cisco DNA Center authentication endpoint and extracts resp.json()['Token'], then returns it. This returned value is an authorization/access token used to authenticate subsequent DNAC API calls (commonly by placing it in an HTTP header such as X-Auth-Token). This is a standard first step in DNAC API automation.
Core Concept: This function demonstrates the common API authentication pattern used by Cisco DNA Center (DNAC): obtain an access/authorization token by calling the DNAC authentication endpoint. In many Cisco platform APIs, you first authenticate (often with HTTP Basic Auth) to receive a token, then you include that token in subsequent API calls (typically in an HTTP header such as X-Auth-Token). Why the Answer is Correct: The function builds the DNAC token URL ("/dna/system/api/v1/auth/token") and sends an HTTP POST request using requests.post() with HTTPBasicAuth(DNAC_USER, DNAC_PASSWORD). DNAC validates those credentials and returns a JSON response containing a token. The code then parses the JSON body (resp.json()) and extracts the value associated with the 'Token' key, stores it in result, and returns it. Therefore, the function’s purpose is to return an authorization token that can be used to authenticate future API requests to DNAC. Key Features / Best Practices: - Token-based authentication: After retrieving the token, clients typically send it on later requests (for DNAC, commonly as the X-Auth-Token header). - Separation of concerns: A dedicated function to fetch tokens is a standard automation practice. - Error handling is missing: In production code, you should check resp.status_code, handle exceptions (timeouts, connection errors), and validate that 'Token' exists in the JSON. - Secure handling: DNAC_USER/DNAC_PASSWORD should be stored securely (environment variables, vault) rather than hard-coded. Common Misconceptions: Option A can look tempting because HTTPBasicAuth is used, but the function does not “return HTTP Basic Authentication”; it uses Basic Auth only as a mechanism to obtain a token. Option B is incorrect because credentials are inputs, not outputs. Option C is incorrect because there is no local file read; the token is retrieved from the HTTP response. Exam Tips: For CCNAAUTO, recognize the workflow: (1) authenticate to get a token, (2) store/return token, (3) use token in headers for subsequent REST calls. Also note the DNAC token endpoint path and that the response JSON includes a token field that scripts commonly extract and reuse.
What are two security benefits of a Docker-based application? (Choose two.)
Incorrect. Docker by itself does not “natively” secure secrets used by the running application. Secrets management requires additional mechanisms such as Docker Swarm secrets, Kubernetes Secrets, or external tools like HashiCorp Vault, plus correct access controls and avoiding baking secrets into images or environment variables. Containers can still leak secrets via logs, env vars, or filesystem if misconfigured.
Incorrect. Docker does not guarantee container images are secure or free of vulnerabilities. Images can include outdated libraries, vulnerable packages, or malicious components. Security requires image provenance controls (trusted registries, signing), vulnerability scanning, regular rebuilds, and runtime hardening. Any option claiming a guarantee is a red flag on the exam.
Correct. Containers often include only the application and its required dependencies, which typically reduces the number of installed packages and services compared to full OS deployments. This can lower the attack surface and simplify patching by rebuilding and redeploying updated images (immutable infrastructure). While not automatic, this packaging model is a real security benefit when combined with good CI/CD practices.
Incorrect. Preventing information leakage from unhandled exceptions in HTTP responses is primarily an application-layer concern (error handling, secure coding, framework configuration). Docker does not inherently change how an application formats error responses. Containers can help isolate the impact of a compromised app, but they do not prevent exception details from being returned to clients.
Correct. Docker enables separation of applications that traditionally run on the same host by using OS-level isolation (namespaces/cgroups). This reduces the blast radius: one application’s compromise is less likely to directly affect another application’s processes or filesystem. It also supports least privilege and segmentation by running different services in different containers with distinct permissions and networks.
Core concept: This question tests container security fundamentals. Docker containers provide OS-level isolation (namespaces/cgroups) and encourage minimal, dependency-focused packaging. These properties can reduce attack surface and limit blast radius compared to running multiple apps directly on the same host OS. Why the answers are correct: C is correct because container images typically package only what the application needs (runtime + required libraries). Compared to traditional “full server” deployments, fewer installed packages generally means fewer known vulnerabilities, fewer services listening, and a smaller patching scope. Patching is often done by rebuilding and redeploying an updated image (immutable infrastructure pattern), which can be faster and more consistent than patching long-lived hosts. E is correct because Docker enables separation/isolation of applications that would otherwise share the same host environment. Each container has its own filesystem view, process space, and network namespace (unless explicitly shared). This reduces the risk that one compromised application can directly tamper with another application’s files/processes, and it helps enforce least privilege and segmentation at the application level. Key features / best practices: - Use minimal base images (e.g., distroless/alpine where appropriate) to reduce dependencies. - Rebuild images frequently and scan them (e.g., Trivy, Clair, registry scanning) as part of CI/CD. - Run as non-root, drop Linux capabilities, use read-only filesystems, and apply seccomp/AppArmor/SELinux profiles. - Separate workloads into different containers and networks; avoid sharing host namespaces unless required. Common misconceptions: Docker does not automatically secure secrets (that requires Docker/Kubernetes secrets, external vaults, and correct runtime configuration). Docker also cannot guarantee images are vulnerability-free; scanning and patching are still required. Preventing information leakage from HTTP exceptions is an application coding concern, not a container feature. Exam tips: For “security benefits” of containers, think: (1) isolation/segmentation between apps and (2) reduced attack surface via minimal images and immutable rebuild/replace patching. Be wary of absolute statements like “guarantees secure” or features that belong to application frameworks rather than containerization.
Which two NETCONF operations cover the RESTCONF GET operation? (Choose two.)
<get> is a NETCONF retrieval operation that returns both configuration and operational/state data from the device (typically from the running datastore and live operational state). This aligns with RESTCONF GET when the client is retrieving operational information (counters, status, learned routes) or wants a combined view of config and state. It supports filtering, similar in intent to RESTCONF’s selective retrieval.
<get-config> is a NETCONF retrieval operation that returns configuration data only from a specified datastore (running/candidate/startup). This matches RESTCONF GET when the request is aimed at configuration resources and the intent is to read the device configuration without operational/state data. It is commonly used for configuration audits and comparisons between datastores.
<get-update> is not a standard NETCONF operation defined in RFC 6241. NETCONF does not provide a dedicated “get updates” RPC; instead, it uses <get>/<get-config> for retrieval and other mechanisms (notifications, subscriptions) for change events. This option is a distractor based on REST/HTTP “update” wording.
<modify-config> is not a standard NETCONF RPC. Configuration changes in NETCONF are performed with <edit-config> (and optionally <copy-config>, <delete-config>, plus commit workflows). Because RESTCONF GET is read-only, any “modify” operation is inherently the wrong mapping. This option is a distractor implying configuration mutation.
<edit> is not a standard NETCONF operation name. The correct NETCONF configuration edit RPC is <edit-config>. Even if interpreted as “edit,” it would correspond to RESTCONF write methods (POST/PUT/PATCH/DELETE), not GET. Therefore it does not cover RESTCONF GET behavior.
Core concept: This question maps RESTCONF HTTP methods to equivalent NETCONF RPC operations. RESTCONF (RFC 8040) is an HTTP-based protocol to access YANG-modeled data. NETCONF (RFC 6241) is an RPC-based protocol that also manipulates YANG-modeled configuration and state. The RESTCONF GET operation is used to retrieve resources (either configuration data, operational/state data, or both), depending on the target datastore and query parameters. Why the answer is correct: NETCONF provides two primary read operations: 1) <get> retrieves both configuration and operational (state) data from the running system, optionally filtered. 2) <get-config> retrieves configuration data only from a specified datastore (commonly running, candidate, or startup), optionally filtered. RESTCONF GET can be used in both ways: when you GET a config resource (often under a “data” path representing config nodes) you are effectively doing a NETCONF <get-config> against a datastore; when you GET operational/state resources (or want both config + state), it aligns with NETCONF <get>. Key features / best practices: - Use <get-config> when you want deterministic configuration-only retrieval from a specific datastore (for example, auditing intended config in running vs startup). - Use <get> when you need operational state (interfaces counters, routing state, platform telemetry) in addition to config. - Both protocols support filtering: NETCONF uses subtree/XPath filters; RESTCONF uses query parameters (for example, depth, fields) and resource paths. Common misconceptions: - Confusing “edit” operations with GET: RESTCONF GET is read-only; it does not map to NETCONF <edit-config> (and <edit> is not a standard NETCONF operation name). - Assuming there is a NETCONF “update” operation: NETCONF uses <edit-config> for create/merge/replace/delete semantics, not <get-update>. Exam tips: When you see RESTCONF GET, think “read.” In NETCONF, the read RPCs are <get> (config + state) and <get-config> (config only). For RESTCONF write methods, map POST/PUT/PATCH/DELETE to NETCONF <edit-config> (and related locking/commit workflows when candidate is used).
On which port does NETCONF operate by default?
Port 23 is the default port for Telnet, an older, insecure remote terminal protocol that sends data in cleartext. It is not used for NETCONF. On exams, 23 typically maps to legacy device access rather than modern automation interfaces. NETCONF is designed to be secure and model-driven, so associating it with Telnet is a common trap.
Port 443 is the default port for HTTPS. This is commonly associated with REST APIs, including RESTCONF (which often runs over HTTPS) and web-based management interfaces. While automation frequently uses HTTPS, NETCONF’s standard and most common transport is SSH on port 830, not HTTPS/443.
Port 822 is not a standard well-known port for NETCONF in Cisco or IETF references. It may appear in some vendor-specific or lab-specific contexts, but it is not the default. For certification exams, rely on IETF well-known ports: NETCONF over SSH is 830 per RFC 6242.
Port 830 is the IETF-assigned well-known port for NETCONF over SSH (RFC 6242). This is the default port used by most network devices and automation tools when establishing NETCONF sessions. Cisco platforms that support NETCONF-YANG typically listen on TCP 830 for NETCONF connections unless explicitly configured otherwise.
Core Concept: NETCONF (Network Configuration Protocol) is an IETF standard protocol used to install, manipulate, and delete configuration on network devices. It commonly uses YANG data models and supports operations like <get>, <get-config>, <edit-config>, and <commit>. For transport, NETCONF is most commonly carried over SSH, providing authentication, confidentiality, and integrity. Why the Answer is Correct: By default, NETCONF over SSH listens on TCP port 830. This is defined in IETF RFC 6242 (Using the NETCONF Protocol over Secure Shell (SSH)). While SSH itself typically uses TCP 22, NETCONF intentionally uses a separate well-known port (830) so devices can distinguish NETCONF sessions from general-purpose interactive SSH sessions. On Cisco platforms, enabling NETCONF over SSH (for example, with IOS XE commands such as enabling NETCONF-YANG) results in the device accepting NETCONF connections on port 830 unless explicitly changed. Key Features / Configuration / Best Practices: NETCONF provides transactional configuration with candidate/running datastores (platform-dependent), supports locking to prevent concurrent edits, and returns structured XML (or model-driven payloads depending on implementation). Best practice is to use NETCONF over SSH (port 830) with strong AAA, role-based access control, and management-plane protections (ACLs, VRFs, out-of-band management). In automation, tools like Ansible, ncclient, and Cisco NSO commonly target port 830 for NETCONF. Common Misconceptions: Many assume NETCONF uses port 22 because it runs “over SSH.” However, port 22 is the default for interactive SSH and SCP/SFTP, not NETCONF’s well-known port. Others confuse NETCONF with RESTCONF (typically HTTPS/443) or with older/less common ports. Exam Tips: Memorize the common management protocol ports: NETCONF over SSH = 830, RESTCONF over HTTPS = 443, SSH = 22, Telnet = 23. If the question says “NETCONF default port,” the expected CCNAAUTO answer is 830 (not 22).
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Which type of HTTP method is used by the Meraki and Webex Teams APIs to send webhook notifications?
HTTP POST is the standard method used to deliver webhook notifications because it supports sending a message body containing the event payload (commonly JSON). Meraki and Webex webhook/event notifications are pushed to a registered callback URL using POST, and your server acknowledges receipt with a 2xx response. POST fits the “push event data to subscriber” model.
HTTP GET is primarily used to retrieve a resource and typically does not include a request body for event payload delivery. GET is common for polling APIs (your client periodically requests updates), which is the opposite of a webhook model. Webhooks are server-initiated deliveries, so GET is not the typical method for webhook notifications.
HTTP HEAD requests return only headers (no response body) and are used to check metadata such as content length or last-modified. Because webhook notifications must deliver event details in a payload, HEAD is unsuitable. It might be used for connectivity checks, but not for sending actual webhook event notifications.
HTTP PUT is used to create or replace a resource at a specific URI and is generally idempotent. Webhook notifications are not resource replacement operations; they are event messages delivered to your endpoint. While PUT can carry a body, webhook implementations (including Meraki and Webex) conventionally use POST for event delivery rather than PUT.
Core Concept: This question tests webhook delivery mechanics in REST APIs. A webhook is an event-driven callback where a provider (Meraki Dashboard API or Webex Teams/Webex API) pushes an HTTP request to a subscriber’s URL when an event occurs (e.g., device status change, message created). Unlike polling (client repeatedly calling GET), webhooks are server-initiated outbound HTTP requests. Why the Answer is Correct: Both Meraki and Webex send webhook notifications as an HTTP POST to the target URL you register. POST is used because the provider is delivering an event payload (typically JSON) in the request body. The receiver processes the body to learn what happened and may respond with a 2xx status code to acknowledge receipt. This aligns with common webhook patterns across the industry and with Cisco platform implementations: the event data is “posted” to your listener endpoint. Key Features / Best Practices: Webhook POST requests usually include: - A JSON payload describing the event (resource, event type, timestamps, IDs, and sometimes a shared secret or signature). - Headers such as Content-Type: application/json. - A requirement that your endpoint be reachable (often HTTPS) and respond quickly with 200/201/202 to avoid retries/timeouts. Best practices include validating authenticity (shared secret, HMAC signature if provided), implementing idempotency (handle duplicate deliveries), and returning appropriate HTTP status codes (2xx to accept, 4xx/5xx may trigger retries depending on platform). Common Misconceptions: GET can seem plausible because it “retrieves” information, but webhooks are not retrieval by the receiver; they are delivery by the sender with a body. PUT can also seem plausible because it “updates” a resource, but webhook delivery is not updating a known resource URI on the provider; it is sending an event message to your endpoint. HEAD is only for headers and cannot carry the event payload. Exam Tips: For CCNAAUTO, remember: polling = your script uses GET repeatedly; webhooks = the platform pushes events to you, almost always via POST with JSON. If the question mentions “send webhook notifications” or “deliver event payload,” default to HTTP POST unless explicitly stated otherwise.
Which model-driven programmability protocol does Cisco IOS XE Software support?
gNMI is a modern, model-driven network management protocol built on gRPC. It is designed for structured configuration/state retrieval and streaming telemetry using YANG-modeled paths. Cisco IOS XE supports model-driven programmability and telemetry capabilities where gNMI is a relevant protocol choice. Among the options, it is the only one that directly represents a model-driven programmability protocol used in network automation contexts.
SOAP is a web services messaging protocol (XML-based) historically used for enterprise application integration. While it can expose APIs, it is not the typical model-driven network programmability interface for IOS XE and is not centered on YANG models for configuration/operational state. In Cisco automation, SOAP is more associated with older management systems rather than modern IOS XE model-driven interfaces.
SSH is a secure transport protocol primarily used for interactive CLI access and secure remote sessions. Although NETCONF often runs over SSH, SSH itself is not the model-driven programmability protocol; it is only the underlying secure channel. For exam purposes, choosing SSH confuses transport with the actual model-driven API/protocol (such as NETCONF/RESTCONF/gNMI).
CORBA (Common Object Request Broker Architecture) is a legacy distributed object framework used to enable communication between software components. It is not a modern network automation/model-driven management protocol for Cisco IOS XE. CORBA is largely irrelevant to contemporary YANG-based programmability and is included as a distractor due to its historical use in enterprise middleware.
Core Concept: This question tests model-driven programmability on Cisco IOS XE. “Model-driven” means device configuration and operational data are represented using YANG models and accessed via standardized APIs/protocols (rather than screen-scraping CLI). Common model-driven protocols include NETCONF/RESTCONF and, in many IOS XE releases/platforms, gNMI. Why the Answer is Correct: gNMI (gRPC Network Management Interface) is a model-driven management protocol that uses gRPC transport and typically encodes data using Protocol Buffers or JSON. Cisco IOS XE supports model-driven telemetry and management interfaces, and gNMI is one of the model-driven programmability protocols associated with modern streaming telemetry and configuration/state retrieval in Cisco environments. In exam context, gNMI is the only option that is explicitly a model-driven network programmability protocol aligned with YANG-modeled data. Key Features / How It’s Used: - Model-driven: Works with YANG-modeled paths for structured data. - Transport: Runs over gRPC (HTTP/2), enabling efficient, scalable streaming. - Operations: Commonly supports Get/Set/Subscribe workflows (especially Subscribe for telemetry). - Automation fit: Integrates well with collectors and automation stacks that prefer streaming telemetry over polling. - Best practices: Use secure transport (TLS), strong authentication/authorization (AAA/RBAC), and limit exposed paths to least privilege. Common Misconceptions: - SOAP is an API style/protocol but not the modern model-driven network management approach used on IOS XE for YANG-based programmability. - SSH is a transport used for CLI access and can carry NETCONF, but “SSH” itself is not the model-driven protocol. - CORBA is an older distributed object framework, not used for contemporary IOS XE model-driven network programmability. Exam Tips: When you see “model-driven programmability” on Cisco exams, think YANG + NETCONF/RESTCONF and modern telemetry options like gNMI. If the choices include one modern network-management protocol (gNMI) versus generic transports (SSH) or legacy enterprise middleware (SOAP/CORBA), the model-driven answer is typically the modern YANG-aligned protocol. Also remember: NETCONF commonly uses SSH as its secure transport, but the protocol is NETCONF—not SSH.
Which principle is a value from the manifesto for Agile software development?
Incorrect. Agile values “individuals and interactions over processes and tools,” which is the reverse of this option. Agile does not reject processes/tools, but it prioritizes human collaboration and communication because they adapt better to change and ambiguity—common in automation projects where requirements evolve as stakeholders see early results.
Incorrect. Agile values “working software over comprehensive documentation,” the opposite of this statement. Documentation still has value, especially in regulated environments, but Agile emphasizes delivering a usable increment frequently. In network automation, this maps to delivering a functioning script/pipeline and tests rather than spending most effort on extensive up-front documents.
Incorrect. Agile values “responding to change over following a plan,” which is the reverse of this option. Planning is important in Agile (iterations, roadmaps), but plans are expected to change as new information emerges. This is especially relevant in infrastructure automation where dependencies, device behaviors, and stakeholder needs can shift quickly.
Correct. “Customer collaboration over contract negotiation” is an exact Agile Manifesto value. It emphasizes continuous stakeholder engagement, shared understanding, and frequent feedback to ensure the delivered product meets real needs. In automation initiatives, this reduces rework by validating workflows early and often with the people who use or depend on them.
Core Concept: This question tests knowledge of the Agile Manifesto values and principles, which are foundational to modern software delivery practices often referenced in network automation and DevNet-style workflows. The Agile Manifesto defines four core values that guide how teams prioritize work and collaboration. Why the Answer is Correct: Option D, “customer collaboration over contract negotiation,” is one of the four exact values from the Manifesto for Agile Software Development. The intent is that while contracts still matter, successful outcomes come more reliably from continuous engagement with the customer (or stakeholder), frequent feedback, and iterative refinement of requirements. Key Features / Best Practices: In practice, this value shows up as: - Frequent demos/reviews (sprint reviews) to validate automation outcomes (e.g., new API-driven provisioning workflow). - Backlog refinement with stakeholders to keep requirements current. - Iterative delivery of small, testable increments (e.g., automate VLAN provisioning first, then extend to QoS, then to compliance checks). - Emphasis on feedback loops, which aligns well with CI/CD pipelines and Infrastructure as Code where changes are validated continuously. Common Misconceptions: The incorrect options are close because they resemble the Agile values but invert them. The Agile Manifesto values are: - Individuals and interactions over processes and tools - Working software over comprehensive documentation - Customer collaboration over contract negotiation - Responding to change over following a plan Options A, B, and C flip the “over” relationship, making them the opposite of Agile’s stated priorities. Exam Tips: Memorize the four Agile values verbatim; many exam questions test recognition by presenting reversed wording. Also note that the question asks for a “value” (the four statements above), not one of the 12 Agile “principles” (longer sentences about delivery, sustainability, technical excellence, etc.). When you see “over,” verify which side Agile prefers: people, working outcomes, collaboration, and adaptability.
What should a CI/CD pipeline aim to achieve?
Correct. CI/CD pipelines are built to automate integration, testing, and delivery/deployment so changes flow with minimal manual effort. This reduces human error, speeds up feedback, and ensures consistent, repeatable releases. Manual intervention may still exist for approvals or exceptional cases, but the pipeline’s design goal is automation-first and predictable execution.
Incorrect. Manual testing can be part of a broader release process (e.g., UAT or exploratory testing), but it is not what a CI/CD pipeline aims to achieve. CI/CD emphasizes automated testing (unit, integration, regression) to provide fast, consistent validation. Making manual testing a primary goal undermines the “continuous” aspect and slows delivery.
Incorrect. CI/CD is generally event-driven (triggered by commits, merges, or pipeline schedules as needed) and supports frequent, incremental releases. A fixed monthly schedule is more characteristic of traditional release management. While you can schedule deployments, CI/CD’s purpose is to enable rapid, reliable delivery whenever changes are ready and validated.
Incorrect. Documented processes and feedback loops are beneficial and often produced by CI/CD (logs, reports, test results, metrics), but they are not the main aim. The core objective is automated, repeatable integration and delivery/deployment. Documentation supports governance and learning, but automation and minimal manual interaction define CI/CD.
Core Concept: A CI/CD pipeline (Continuous Integration and Continuous Delivery/Deployment) is an automated workflow that takes code changes from commit through build, test, and release stages. In network automation and software delivery, the goal is repeatability, speed, and reliability by treating changes as code and validating them automatically. Why the Answer is Correct: The primary aim of a CI/CD pipeline is to require minimal manual interaction (Option A). CI/CD is designed to automatically integrate changes, run consistent tests, and promote artifacts/configurations through environments with predictable outcomes. Manual steps introduce variability, slow feedback, and increase the risk of human error. In Cisco automation contexts, this aligns with pushing validated configuration changes, infrastructure-as-code updates, or API-driven deployments in a controlled, automated manner. Key Features / Best Practices: A well-designed pipeline includes automated triggers (e.g., on pull request/merge), automated build/linting, unit and integration tests, security checks, and automated deployment or delivery gates. “Minimal manual interaction” does not mean “no control”; it means controls are implemented as automated policy checks and approvals where required (e.g., change-management gates), with consistent artifacts and logs. Common tooling patterns include version control as the source of truth, pipeline-as-code, and environment parity to reduce “works on my machine” issues. Common Misconceptions: Some assume CI/CD requires manual testing before deployment (Option B). While manual testing can exist, CI/CD emphasizes automated testing and fast feedback; manual testing is typically supplemental or used for exploratory/UAT, not a core aim. Others think CI/CD implies fixed schedules (Option C), but CI/CD is event-driven and supports frequent releases. Documentation and feedback loops (Option D) are valuable outcomes, but they are not the primary objective compared to automation and repeatability. Exam Tips: For CCNAAUTO-style questions, associate CI/CD with automation, repeatability, rapid feedback, and reduced human error. If an option emphasizes fixed schedules or manual steps as the goal, it usually conflicts with CI/CD principles. Remember: approvals can exist, but the pipeline’s aim is to automate the path to production as much as practical while maintaining quality and governance.
What are two benefits of managing network configuration via APIs? (Choose two.)
APIs can improve security through centralized authentication, RBAC, auditing, and reduced need for broad CLI access. However, managing via APIs does not inherently lock out manual configuration; many networks still allow CLI for break-glass or troubleshooting. Security gains depend on proper implementation (tokens/certs, least privilege, logging), so this is not a guaranteed benefit as stated.
Automation can make operations feel simpler by using templates and higher-level intent, but the underlying device configuration is not necessarily less complex. Complexity often shifts to data models, templates, and orchestration logic. Networks may even become more complex as you add controllers, pipelines, and validation steps, so this is not a reliable “benefit.”
APIs do not eliminate legacy protocols like SNMP. SNMP remains common for monitoring and alerting, while APIs are frequently used for configuration and modern telemetry. Many Cisco platforms support both simultaneously (e.g., SNMP for NMS integration, REST/NETCONF for provisioning). The word “eliminates” makes this option incorrect.
Using APIs enables programmatic changes (scripts, controllers, IaC tools) instead of engineers manually configuring each device via CLI. This reduces manual touch points, lowers the chance of typos and missed steps, and supports repeatable workflows with pre/post validation. It also speeds up changes and helps standardize operational processes.
APIs enable bulk, repeatable, and standardized changes across many devices, which improves scalability and consistency. A single workflow can apply the same configuration to an entire fleet, enforcing templates and desired state. This reduces configuration drift, improves compliance, and makes troubleshooting easier because devices are configured in a uniform, predictable way.
Core concept: This question tests why API-driven network configuration (REST/NETCONF/gNMI, controller APIs, IaC tools) is beneficial compared to device-by-device CLI changes. APIs enable programmatic, repeatable configuration workflows and integrate with automation pipelines. Why the answer is correct: D is correct because APIs reduce the amount of manual, interactive configuration. Instead of engineers logging into each device and typing commands, a script/controller pushes changes automatically. This lowers human error (typos, missed steps), shortens change windows, and supports safer operations through pre-checks and post-checks. E is correct because APIs increase scalability and consistency. A single API call or automation workflow can apply the same intended configuration across tens/hundreds of devices, enforcing standardized templates and desired state. Consistency improves compliance and troubleshooting, and scalability is essential as networks grow and change more frequently. Key features and best practices: API-based management typically supports idempotent operations (safe re-application), structured data models (YANG for NETCONF/RESTCONF), version-controlled configuration (Git), and CI/CD-style validation (linting, unit tests, pre-change diffs). Controllers (Cisco DNA Center, Meraki Dashboard, ACI APIC) centralize intent and expose APIs for bulk operations, auditing, and rollback. Authentication/authorization is commonly handled with tokens, certificates, and RBAC. Common misconceptions: Option B can sound plausible because automation “hides” complexity, but device configuration itself is not inherently less complex; you are just managing it differently (often shifting complexity into models, templates, and tooling). Option C is incorrect because APIs do not eliminate SNMP; SNMP is still widely used for monitoring/telemetry, and many environments run both. Option A overstates security benefits: APIs can improve auditability and access control, but they do not automatically “lock out” manual configuration, and security depends on implementation (RBAC, least privilege, secrets management). Exam tips: For CCNAAUTO, remember the most testable benefits of APIs/automation are (1) reduced manual effort and human error, and (2) scalable, consistent changes across devices. Be cautious of absolute statements like “eliminates” or “locks out,” which are often distractors.
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