Practice Test #2

Incorrect. Microservices can complement DevOps by enabling independent deployments and smaller change sets, but they are an architectural style, not a foundational DevOps principle. DevOps can be implemented with monoliths or microservices. Treat microservices as a possible outcome/choice, not a definition of DevOps.

Incorrect. Containers are a deployment technology that often supports DevOps goals (portability, consistency, faster deployments), but DevOps does not require containers. Many DevOps implementations use VMs, bare metal, or platform services without containers. Exams typically classify containers as tooling, not foundational principles.

Incorrect. Optimizing infrastructure cost is a valid business goal and may be improved through DevOps/FinOps practices, but it is not a foundational DevOps principle. DevOps primarily focuses on delivery speed, stability, collaboration, and continuous improvement; cost optimization is secondary and context-dependent.

False. PC-B is connected to the LAN labeled 192.168.1.0/24, which means the subnet uses a 24-bit network prefix. A statement claiming 18 bits are dedicated to the network portion would correspond to a /18 mask, not /24. Therefore the diagram contradicts this option directly.

False. R1 and R3 do not share a common subnet with each other. R1 connects to R2 using 10.1.1.0/30, while R3 connects to R2 using 10.2.2.0/30, and those are distinct Layer 3 networks. Since each router interface belongs to its own labeled /30 subnet, R1 and R3 are not in the same subnet.

False. PC-C is on subnet 192.168.3.0/24, and a /24 contains 256 total IP addresses. However, two of those addresses are reserved for the network and broadcast addresses, leaving only 254 usable host addresses in traditional IPv4 subnetting. So the subnet cannot contain 256 hosts.

Removing “unnecessary tests” is not a standard approach to organizing code and can reduce reliability. Tests (unit/integration) are typically kept or improved during refactoring to ensure behavior doesn’t change. The problem described is duplicated implementation, not excessive validation logic. Eliminating tests may make the code shorter, but it does not improve structure, reuse, or maintainability and is generally a poor practice.

Reverse engineering and rewriting the logic is excessive and risky, especially since the code “runs fine.” Good refactoring is behavior-preserving and incremental: you improve structure without changing what the program does. A full rewrite increases the chance of introducing defects and is not the typical answer for organizing repeated code. Exam-wise, rewrites are rarely the best first step when a targeted refactor solves the issue.

Loops reduce repetition when the same operation is performed over a list (for example, configuring many devices or interfaces). However, loops alone don’t necessarily “organize” code when the repetition occurs in multiple places or represents a reusable procedure. Often, the best design is a function that performs the task and a loop that calls it for each item. Since the question emphasizes organizing repeated pieces, functions are the more direct answer.

Incorrect. Although the first task sets Gi0/1 to state: unconfigured, the very next task configures Gi0/1 with mode: trunk and state: present. In Ansible, tasks are applied in order, so the final configuration is the trunk configuration, not an unconfigured interface.

Incorrect. A trunk on Gi0/1 does not enable traffic to flow between ports 0/2 to 0/5 by itself. Ports communicate at Layer 2 only if they are in the same VLAN. Here, Gi0/2 and Gi0/3 are in VLAN 6, Gi0/4 is in VLAN 7, and nothing is stated about Gi0/5. Inter-VLAN traffic would require routing, not just a trunk.

Incorrect. The playbook does not reference GigabitEthernet0/6 at all, and there is no configuration that would connect traffic from Gi0/2 and Gi0/3 specifically to Gi0/6. The only uplink-like configuration shown is the trunk on Gi0/1, which carries VLANs 6-8, not a mapping to Gi0/6.

Incorrect. The script does not iterate over all directories in the current folder (there is no `for` loop, no glob like `*`, and no directory listing). It only uses a single user-provided directory name (`ndir`) and repeatedly checks for that specific directory name as it changes into it.

Incorrect. It does not always “go into the directory entered and create a new directory with the same name” at that same level. If the directory exists, it goes into it and keeps going deeper as long as another directory with the same name exists. The `mkdir` occurs only after the loop ends, at the deepest level reached.

Incorrect. `$ndir` is a variable expanded by the shell; it is not a literal directory name “$ndir”. Also, the script does not necessarily go into a directory called `$ndir` once and then create another `$ndir` alongside it; it may traverse multiple nested levels before creating the missing directory.

A payload limit refers to a maximum message size, typically measured in bytes, and it can apply to requests, responses, or both depending on the API or gateway implementation. If a payload-size threshold were the issue, the behavior would usually depend on the total serialized size of the returned data rather than always stopping at exactly 25 records. APIs also more commonly signal payload-size problems with an error or require filtering, compression, or smaller queries. A fixed and repeatable record count is much more characteristic of pagination than of a payload-size control.

Service timeouts occur when the server or an intermediary cannot complete processing within a time threshold, often resulting in errors such as 408 Request Timeout or 504 Gateway Timeout. Timeouts do not normally produce a successful response with a predictable, fixed number of records; they more commonly cause failures or incomplete operations.

Rate limiting controls how many API calls a client can make in a given time window to protect the service. When exceeded, the API usually responds with 429 Too Many Requests and may include retry-after guidance. Rate limiting affects request frequency, not the number of records returned per successful request.

Webex Teams (now generally referred to as Webex messaging APIs) is used to manage spaces, messages, memberships, and some user-related collaboration functions in the Webex cloud. It does not provide inventory/configuration data for CUCM voicemail ports, which are on-prem telephony objects tied to call routing and Unity Connection integration. Choosing this option is a common confusion between “voicemail” as a concept and Webex messaging services.

Finesse Gadgets relate to Cisco Finesse, a contact center desktop platform (commonly used with UCCX/UCCE). Finesse APIs and gadgets focus on agent state, dialogs, call control, and desktop UI integrations. They do not provide authoritative configuration data for CUCM voicemail ports. This option may seem plausible if you associate “ports” with call handling, but it’s the wrong platform for voicemail port inventory.

Webex Devices APIs are used to manage and monitor Webex Room/Desk devices and related cloud-managed endpoints (status, configuration, xAPI commands). Voicemail ports are not Webex devices; they are CUCM telephony constructs used for voicemail integration. As a result, Webex Devices APIs cannot be used to obtain voicemail port configuration data in CUCM.

Incorrect. UCS Manager’s traditional API is the XML API, not JSON-centric. Authentication is not typically HTTP Basic Auth with Base64-encoded credentials in the header. Instead, UCSM automation generally performs an aaaLogin call and then uses the returned session cookie (outCookie) for subsequent requests. JSON and Basic Auth are common patterns elsewhere, which makes this option a plausible distractor.

Incorrect. Cisco Intersight is a RESTful API platform that is JSON-based rather than XML-based. Authentication uses an API key pair (Key ID and secret) to sign requests (HMAC-style signing), which is a modern approach for SaaS APIs. The “requires an API key pair” part is true, but the “uses XML” encoding makes the statement wrong overall.

Incorrect. Intersight API interactions are JSON-based; it does not generally support XML encoding. While it does use API keys in HTTP headers, it specifically uses an API key pair with signed requests (not simply a single API key header in the simplistic sense). The “XML or JSON” portion is the key error and makes the statement false.

Incorrect. Verifying configurations against compliance standards is typically done with compliance/policy tools (e.g., Cisco NSO compliance features, Cisco DNA Center assurance/policy, or third-party config compliance platforms). VIRL/CML does not primarily evaluate configs against regulatory baselines; it provides a simulated environment to run and observe network behavior.

Incorrect. Automating API workflows is the role of orchestration/automation tools (e.g., Cisco NSO, Ansible Tower/AWX, CI/CD pipelines, or workflow engines). VIRL/CML may offer APIs to control labs, but that is supportive functionality; the main purpose is to host simulated network topologies for testing and learning.

Incorrect. Testing performance of an application is generally handled by application performance management (APM) and load-testing tools (e.g., AppDynamics, JMeter, LoadRunner). VIRL/CML focuses on network device simulation and topology modeling, not benchmarking application response times or generating application load.