View Full Cisco CCNP Data Center 300-635 Exam Dumps and Practice Test Dumps

 

Question 201.

Which Cisco ACI Python SDK provides object-oriented access to the APIC managed-object model?

1. Cobra SDK
   2. Paramiko only
   3. Scapy only
   4. Flask

Correct Answer: 1

Explanation:

The Cisco ACI Cobra SDK provides Python classes that represent managed objects in the APIC information model. It allows developers to authenticate to APIC, query objects, create configuration objects, and commit changes without manually constructing every REST request. This object-oriented abstraction can simplify scripts that interact extensively with tenants, bridge domains, endpoint groups, contracts, and other ACI resources. Paramiko provides SSH functionality, Scapy is primarily used for packet manipulation and analysis, and Flask is a web application framework. Understanding both the REST API and SDK approach is useful because the SDK ultimately works with the same underlying ACI object model.

Question 202.

What is a key advantage of using the Cisco ACI Cobra SDK instead of manually building every APIC REST payload?

1. It removes the need for APIC authentication
   2. It provides Python classes and methods that abstract much of the managed-object interaction
   3. It automatically guarantees zero configuration errors
   4. It replaces the ACI fabric

Correct Answer: 2

Explanation:

The Cobra SDK provides higher-level Python abstractions for ACI managed objects, which reduces the amount of low-level request construction a developer must perform. Instead of manually assembling every URL and JSON or XML body, the script can instantiate managed-object classes and commit them through SDK methods. Authentication and authorization are still required, and the SDK cannot guarantee that every configuration is logically correct. It also does not replace APIC or the fabric itself. The main benefit is improved developer productivity and closer alignment between Python code and the ACI object hierarchy.

Question 203.

Which Cisco ACI API identifier represents the full hierarchical path to a specific managed object?

1. VLAN ID
   2. MAC address
   3. Distinguished Name
   4. TCP port

Correct Answer: 3

Explanation:

A Distinguished Name, or DN, uniquely identifies the location of a managed object within the ACI management information tree. Because the object model is hierarchical, the DN reflects the sequence of parent-child relationships leading to the object. Automation scripts frequently use DNs when retrieving or modifying a specific managed object. VLAN IDs, MAC addresses, and TCP ports may be attributes used within the fabric but do not represent the complete object location in the APIC hierarchy. Understanding DNs is fundamental to effective ACI API navigation.

Question 204.

A script needs to retrieve every object of one ACI managed-object class. Which API approach is most appropriate?

1. Distinguished-name query for one object only
   2. ICMP query
   3. ARP request
   4. Class query

Correct Answer: 4

Explanation:

A class query retrieves instances of a specified managed-object class from APIC. For example, an automation workflow can retrieve all tenants, bridge domains, or endpoint groups by querying their respective classes. A distinguished-name query is more appropriate when the exact object path is already known and only one specific object is needed. ARP and ICMP are network protocols and are unrelated to APIC’s managed-object API. Class queries are valuable for inventory, compliance checking, and bulk configuration analysis.

Question 205.

Which API design practice helps reduce the size of an ACI class-query response when only objects matching certain criteria are needed?

1. Apply query filters
   2. Disable HTTPS
   3. Request every managed object and discard most of them locally
   4. Remove authentication

Correct Answer: 1

Explanation:

Query filters allow the client to narrow the set of objects returned by APIC based on attributes or other supported criteria. This reduces bandwidth, parsing time, and memory usage, particularly in large fabrics where a class can contain many instances. Retrieving the entire class and discarding most records locally is less efficient. Disabling HTTPS or authentication would not improve query precision and would create security problems. Efficient API queries are important when automation runs frequently or operates across large-scale environments.

Question 206.

Which HTTP method is generally appropriate for retrieving an existing ACI object’s current state?

1. DELETE
   2. GET
   3. PATCH only
   4. POST only

Correct Answer: 2

Explanation:

GET is the standard HTTP method used to retrieve information without intentionally modifying the target resource. An ACI automation script can use GET requests to inspect tenants, EPGs, contracts, interfaces, or other managed objects before deciding whether a change is required. Other operations may use POST according to APIC’s API conventions, while DELETE or status-based deletion behavior is used for removal. Retrieval should generally be performed before configuration changes so the automation can validate current state and avoid unnecessary modifications.

Question 207.

Which Cisco UCS automation tool allows Windows PowerShell users to manage UCS environments programmatically?

1. Wireshark
   2. Terraform CLI only
   3. Cisco UCS PowerTool
   4. EEM

Correct Answer: 3

Explanation:

Cisco UCS PowerTool provides PowerShell cmdlets for managing Cisco UCS environments. It allows administrators to connect to UCS management systems, retrieve inventory, configure policies, work with Service Profiles, and automate repetitive administrative tasks. This is particularly useful for teams that already use PowerShell heavily. Wireshark is a packet analyzer, Terraform is a separate infrastructure-as-code tool, and EEM is an event-driven automation feature on supported Cisco network devices. PowerTool gives Windows-oriented automation teams a native scripting interface for UCS operations.

Question 208.

What is the primary benefit of using Cisco UCS PowerTool in a repetitive server-management workflow?

1. It replaces UCS Manager entirely
   2. It disables role-based access control
   3. It requires manual configuration of every object
   4. It provides reusable PowerShell cmdlets for querying and changing UCS objects

Correct Answer: 4

Explanation:

PowerTool exposes UCS operations as PowerShell cmdlets, making it easier to automate repeated tasks such as inventory collection, policy configuration, Service Profile deployment, and compliance checks. Administrators can combine cmdlets with PowerShell loops, variables, functions, and error handling to create scalable workflows. PowerTool does not replace UCS Manager or eliminate authorization controls. Instead, it provides a programmable client interface that uses the underlying UCS management capabilities while allowing teams to automate operations in a familiar scripting environment.

Question 209.

Which Cisco Intersight API concept is most useful when an automation script needs to retrieve only devices belonging to one organization or matching one model?

1. Filtering
   2. Packet fragmentation
   3. Route redistribution
   4. VLAN pruning

Correct Answer: 1

Explanation:

Filtering allows an Intersight API client to request only resources matching specified criteria, such as organization, name, device type, model, or status. This improves efficiency because the client does not need to retrieve and process an unnecessarily large inventory. It also makes scripts easier to reason about because the API itself performs part of the selection logic. Packet fragmentation, routing, and VLAN pruning are network concepts unrelated to API dataset selection. Effective filtering becomes increasingly important as managed infrastructure grows.

Question 210.

An Intersight API response contains only part of a large inventory dataset. Which mechanism should the client use to retrieve the remaining records?

1. DNS recursion
   2. Pagination
   3. ARP resolution
   4. Syslog replay

Correct Answer: 2

Explanation:

Pagination allows API clients to retrieve large datasets in smaller batches rather than receiving every record in one response. The client may use offsets, limits, page values, or continuation mechanisms depending on the API. Automation must continue retrieving subsequent pages until all required records are collected. Ignoring pagination can produce incomplete inventory and lead to incorrect automation decisions. DNS, ARP, and Syslog are unrelated to retrieving additional pages from a REST API.

Question 211.

Which Python construct is most appropriate for creating a reusable block of code that retrieves and validates an API response?

1. Function
   2. Comment
   3. Integer
   4. String literal

Correct Answer: 1

Explanation:

A function encapsulates reusable logic and can accept parameters, perform an API request, validate the response, handle errors, and return parsed data. This avoids duplicating the same logic throughout the script and makes future maintenance easier. Functions are also easier to test individually. Comments, integers, and strings do not provide executable reusable behavior. Modular functions are particularly useful in network automation because authentication, request handling, parsing, and logging are repeated across many workflows.

Question 212.

Which Python feature is most suitable when a script must process each object in an API response list but skip records that are already compliant?

1. raise only
   2. for loop with continue
   3. import only
   4. lambda only

Correct Answer: 2

Explanation:

A for loop can iterate through each returned object, while continue can skip the remainder of an iteration when an object already satisfies the desired condition. This allows the script to focus only on records that require action. raise generates exceptions and is more appropriate for error conditions. import loads modules, and lambda defines a small anonymous function. Combining loops and conditional logic is a common pattern in infrastructure compliance and remediation automation.

Question 213.

Which Python statement is most appropriate when invalid input makes it unsafe for the automation workflow to continue?

1. raise
   2. pass
   3. continue
   4. import

Correct Answer: 1

Explanation:

The raise statement deliberately generates an exception and can stop execution when a critical safety validation fails. For example, a script could raise an exception if a production controller name does not match the expected environment before attempting a destructive operation. pass performs no action, while continue skips only the current loop iteration. import loads modules. Explicit failure is often safer than silently proceeding with incorrect inputs, especially in automation that can modify large numbers of infrastructure objects.

Question 214.

Which Python block is best suited for performing cleanup actions whether an API operation succeeds or fails?

1. if
   2. finally
   3. for
   4. lambda

Correct Answer: 2

Explanation:

A finally block executes after a try block regardless of whether an exception occurred. It is therefore useful for cleanup operations such as closing sessions, releasing locks, deleting temporary files, or writing final log entries. This makes automation more reliable when external APIs or network connectivity fail unexpectedly. Conditional statements and loops are useful for decision-making and iteration, while lambda functions create small anonymous functions. Cleanup logic helps prevent stale sessions and partially held resources.

Question 215.

Which Ansible feature is most appropriate when a playbook must generate slightly different Nexus interface configurations for many devices using one reusable file?

1. Jinja2 template
   2. Callback plugin
   3. Vault password only
   4. Inventory parser only

Correct Answer: 1

Explanation:

Jinja2 templates allow Ansible to generate configuration dynamically using variables, loops, and conditional expressions. One interface template can therefore be reused across many Nexus switches while values such as descriptions, VLANs, IP addresses, and interface identifiers change per device. This reduces duplicate configuration and makes large environments easier to maintain. Callback plugins affect output, Vault protects secrets, and inventory defines hosts and variables but does not itself generate text. Templates are a core tool for scalable configuration automation.

Question 216.

Which Ansible feature should be used to store the output of a device query so a later task can make a decision based on that result?

1. Handler
   2. Inventory
   3. Vault
   4. register

Correct Answer: 4

Explanation:

The register keyword stores the result of an Ansible task in a variable. Later tasks can inspect that variable and use a when condition to determine whether a change is necessary. For example, a playbook can query an interface state, register the result, and configure the interface only if it is not already in the desired state. This pattern supports state-aware and idempotent automation. Handlers are triggered after changes, while inventory and Vault serve different roles.

Question 217.

Which Terraform construct allows one configuration to accept different VLAN IDs or tenant names for development, testing, and production?

1. Input variable
   2. State lock
   3. Provider cache only
   4. Output block only

Correct Answer: 1

Explanation:

Terraform input variables allow configuration values to be supplied externally instead of hardcoding environment-specific information. The same infrastructure definition can therefore be reused for development, testing, and production by providing different values for tenant names, VLAN IDs, addresses, or other parameters. State locking prevents concurrent state modification, and output blocks expose values after processing. Variables improve reuse and reduce duplicated configuration, but sensitive values still require secure handling because they may appear in state depending on the provider.

Question 218.

Which Terraform feature allows one configuration component to be packaged and reused in multiple projects?

1. State file only
   2. Module
   3. Plan file only
   4. Lock file only

Correct Answer: 2

Explanation:

A Terraform module is a reusable collection of configuration that can define multiple related resources behind a simpler interface. For example, a module could represent a standard application network construct or a repeatable policy bundle. Projects can instantiate the module with different input variables while preserving common implementation logic. This reduces duplication and improves consistency. State and plan files serve execution and tracking functions, while lock files typically control provider dependency versions. Modules are central to building maintainable infrastructure-as-code libraries.

Question 219.

Which NETCONF feature allows a client to determine which capabilities a network device supports when a session begins?

1. Capability exchange
   2. DHCP discovery
   3. ARP inspection
   4. CDP advertisement

Correct Answer: 1

Explanation:

At the beginning of a NETCONF session, the client and server exchange <hello> messages that advertise supported capabilities. These capabilities can indicate supported datastores, operations, YANG-related features, validation options, or other protocol extensions. Automation should inspect advertised capabilities rather than assuming every device supports the same NETCONF functions. This is especially important for features such as candidate configuration or confirmed commit. DHCP, ARP, and CDP are unrelated to NETCONF session negotiation.

Question 220.

An automation pipeline should deploy to production only after syntax checks, unit tests, integration tests, and a required human approval have succeeded. Which architecture best supports this requirement?

1. Direct execution from an engineer’s laptop
   2. Manual production CLI changes with no version control
   3. CI/CD pipeline with staged quality and approval gates
   4. A repository containing plaintext production passwords

Correct Answer: 3

Explanation:

A staged CI/CD pipeline can enforce multiple levels of validation before infrastructure automation reaches production. Early stages can perform syntax checks and linting, followed by unit and integration testing. Production deployment can then require explicit approval, policy validation, or change-management authorization. This creates a repeatable, auditable process and prevents code from being promoted when a required check fails. Direct ad hoc execution lacks consistent controls, while storing plaintext credentials in a repository creates unnecessary security risk.