View Full Cisco CCNP 300-435 Exam Dumps and Practice Test Dumps

 

Question 61.

Which Cisco capability centralizes telemetry collection from managed infrastructure?

1. Interface mirroring
2. Packet forwarding
3. Telemetry analytics
4. Cable diagnostics

Correct Answer: 3

Explanation:

Centralized telemetry analytics allows information gathered from multiple network elements to be consolidated and examined through a common management or analytics platform. Instead of investigating each device independently, engineers can evaluate operational measurements, trends, and anomalies from a broader infrastructure perspective. This approach is useful for automation because applications can consume collected information and trigger workflows based on defined conditions. Telemetry analytics can support capacity planning, troubleshooting, performance monitoring, and event-driven operations. Interface mirroring, packet forwarding, and cable diagnostics perform different network functions and do not provide centralized analysis of infrastructure telemetry.

Question 62.

Which protocol provides model-driven configuration through structured RPC operations?

1. NETCONF
2. TFTP
3. SMTP
4. ARP

Correct Answer: 1

Explanation:

NETCONF provides structured remote procedure call operations for managing network configuration. It commonly uses YANG models to describe the data being manipulated, allowing automation software to interact with configuration objects rather than relying exclusively on human-oriented CLI commands. NETCONF operations can retrieve information, modify configuration, validate proposed changes, and perform other supported management functions. TFTP provides basic file transfer, SMTP handles email delivery, and ARP performs address-resolution functions on local networks. Model-driven management makes NETCONF especially useful when automation requires predictable, structured interaction with supported network platforms.

Question 63.

Which Python object is immutable after creation?

1. List
2. Set
3. Dictionary
4. Tuple

Correct Answer: 4

Explanation:

A Python tuple is an ordered collection whose membership cannot normally be modified after the tuple has been created. This makes tuples useful when automation needs to represent a fixed group of related values that should not be accidentally changed during processing. Lists are mutable ordered collections, sets are mutable collections of unique values, and dictionaries maintain mutable key-value mappings. Immutability can be useful for protecting constant data or representing fixed relationships in automation programs. Engineers should select the collection type according to whether ordering, uniqueness, mutability, and key-based lookup are required.

Question 64.

Which API security practice prevents credentials from being transmitted as readable text?

1. URL encoding
2. TLS encryption
3. Data compression
4. Payload formatting

Correct Answer: 2

Explanation:

TLS encryption protects HTTP communications by encrypting information exchanged between the client and server. When automation applications communicate with APIs over HTTPS, TLS helps protect credentials, tokens, request data, and responses from being easily read by unauthorized parties monitoring the communication path. URL encoding changes how characters are represented but does not provide confidentiality. Compression reduces message size, while payload formatting controls data representation. Automation developers should also validate certificates appropriately and avoid transmitting sensitive information through insecure protocols. Secure transport is a foundational requirement for protecting API-based network automation traffic.

Question 65.

Which Ansible component stores encrypted sensitive variables?

1. Ansible Vault
2. Host pattern
3. Task block
4. Callback plugin

Correct Answer: 1

Explanation:

Ansible Vault provides functionality for encrypting sensitive data used by Ansible projects. It can protect values such as passwords, tokens, private information, and other secrets that should not remain readable in ordinary project files. Vault allows sensitive variables to remain integrated with automation workflows while restricting direct visibility of their contents. Host patterns determine which inventory targets are selected, task blocks organize related operations, and callback plugins influence output processing. Protecting secrets is particularly important in network automation because playbooks frequently require privileged credentials to interact with infrastructure.

Question 66.

Which Python method adds an item to the end of a list?

1. extend()
2. insert()
3. append()
4. remove()

Correct Answer: 3

Explanation:

The Python append() method adds a single item to the end of an existing list. This is useful in automation when a program builds a collection incrementally, such as accumulating discovered devices, validation results, interface records, or API response objects. The extend() method adds elements from another iterable, insert() places an item at a specified position, and remove() deletes a matching item. Understanding these list operations helps engineers manipulate dynamic collections efficiently while processing network inventory and other structured automation data.

Question 67.

Which architecture separates automation decisions from device-specific implementation details?

1. Control-plane abstraction
2. Hardware acceleration
3. Traffic replication
4. Physical segmentation

Correct Answer: 1

Explanation:

An abstraction layer can separate high-level automation decisions from the implementation details required by individual network platforms. The automation workflow can express an intended operation while platform-specific components determine how that operation should be executed. This design can reduce duplicated logic and simplify support for heterogeneous environments. For example, the same logical configuration task may require different APIs or commands on different platforms. Hardware acceleration, traffic replication, and physical segmentation address infrastructure behavior rather than software architecture. Abstraction therefore helps make automation applications more portable and maintainable.

Question 68.

Which HTTP status indicates that a new resource was successfully created?

1. 206
2. 302
3. 404
4. 201

Correct Answer: 4

Explanation:

HTTP status code 201 indicates that a request successfully resulted in creation of a new resource. REST APIs commonly return this status after successful POST operations that create objects such as policies, records, or other managed resources. Automation software can inspect the status code to determine whether the requested creation operation completed as expected. Status 206 represents partial content, 302 indicates redirection, and 404 indicates that the requested resource could not be found. Correctly interpreting API responses allows automation workflows to distinguish successful creation from unrelated HTTP outcomes.

Question 69.

Which Python library is designed for tabular data manipulation?

1. Flask
2. Pandas
3. Paramiko
4. PyYAML

Correct Answer: 2

Explanation:

Pandas provides data structures and tools for manipulating tabular information, including its widely used DataFrame structure. Network automation workflows can use Pandas to process inventory exports, interface information, device reports, monitoring results, and other structured datasets. Engineers can filter records, transform columns, combine datasets, and produce summarized information for further processing. Flask is a web framework, Paramiko provides SSH-related functionality, and PyYAML handles YAML serialization and parsing. While Pandas is not specifically a networking library, it can be highly useful when automation workflows need substantial data-processing capabilities.

Question 70.

Which practice records the exact configuration change made by automation?

1. Change auditing
2. Traffic mirroring
3. DNS recursion
4. Link negotiation

Correct Answer: 1

Explanation:

Change auditing records modifications made to infrastructure so engineers can determine what changed, when it changed, and potentially which automation workflow or identity initiated the operation. This provides valuable traceability for troubleshooting, compliance, operational review, and incident investigation. Automation systems can enhance auditing by recording structured information about target devices, configuration differences, execution identifiers, and outcomes. Traffic mirroring copies network traffic for analysis, DNS recursion handles name-resolution requests, and link negotiation establishes communication parameters. Auditing is therefore directly relevant to understanding and controlling automated configuration changes.

Question 71.

Which Python statement exits the current loop immediately?

1. continue
2. return
3. break
4. pass

Correct Answer: 3

Explanation:

The Python break statement immediately terminates the nearest enclosing loop. In network automation, this can be useful when a workflow has found the required device, encountered a condition that makes further iteration unnecessary, or reached a predefined stopping point. continue skips the remaining statements in the current iteration and proceeds with the next iteration. return exits a function, while pass performs no operation and is commonly used as a placeholder. Understanding loop-control statements helps engineers design automation logic that behaves predictably when processing collections of network information.

Question 72.

Which system design allows multiple automation services to communicate through events?

1. Event-driven architecture
2. Static addressing model
3. Broadcast topology
4. Manual provisioning chain

Correct Answer: 1

Explanation:

Event-driven architecture allows software components to respond to events generated by other systems or services. In network automation, an operational event can trigger an application that evaluates the information and starts an appropriate workflow. This model can reduce unnecessary polling and enable faster responses to relevant conditions. For example, a monitoring platform may publish an event that causes an automation service to perform validation or remediation. Static addressing, broadcast topology, and manual provisioning describe networking or operational concepts rather than application architecture designed around asynchronous events.

Question 73.

Which technology provides structured telemetry using YANG-modeled data?

1. Telnet
2. gNMI
3. TFTP
4. RDP

Correct Answer: 2

Explanation:

gNMI, or gRPC Network Management Interface, supports programmatic configuration and telemetry operations and is commonly associated with YANG-modeled network data. It can provide mechanisms for retrieving streaming operational information as well as managing configuration on supported platforms. This makes it useful for modern, model-driven network automation and monitoring architectures. Telnet provides legacy remote terminal access, TFTP transfers files, and RDP is primarily associated with graphical remote desktop access. Engineers working with streaming telemetry should understand how gNMI interacts with structured models and how subscriptions can provide ongoing operational information.

Question 74.

Which testing method evaluates automation behavior with simulated dependencies?

1. Integration testing
2. End-to-end deployment
3. Mock testing
4. Acceptance rollout

Correct Answer: 3

Explanation:

Mock testing replaces selected real dependencies with controlled simulated components. In network automation, mocks can represent API responses, device interactions, or external services, allowing developers to test application logic without connecting to actual production infrastructure. This can make tests faster, repeatable, and safer during development. Integration testing evaluates interactions between real components, end-to-end deployment evaluates broader workflows, and acceptance rollout concerns validation before operational adoption. Mocking is especially useful when an automation function depends on external systems that may be unavailable or undesirable to contact during routine software testing.

Question 75.

Which Python collection automatically removes duplicate values?

1. Set
2. Tuple
3. List
4. String

Correct Answer: 1

Explanation:

A Python set stores unique elements, so adding the same value multiple times does not create multiple identical entries. This characteristic can be useful in network automation when an application needs to eliminate duplicate device names, addresses, identifiers, or other values before processing them. Sets are not primarily designed to preserve positional ordering in the way lists do. Tuples preserve ordered values, lists permit duplicates while maintaining sequence, and strings represent text. Choosing a set can therefore simplify deduplication operations before an automation workflow performs further analysis or configuration tasks.

Question 76.

Which Git command downloads repository changes without merging them?

1. git push
2. git fetch
3. git reset
4. git revert

Correct Answer: 2

Explanation:

The git fetch operation retrieves updated information from a remote repository without automatically integrating those changes into the current working branch. This allows engineers to inspect incoming commits, compare differences, and decide how they should be incorporated. git push sends local commits to a remote repository, git reset changes repository or working-tree state depending on its options, and git revert creates a new commit that reverses an earlier change. Fetching is useful in collaborative automation projects because engineers can review upstream changes before modifying their active development branch.

Question 77.

Which automation characteristic enables the same workflow to support different environments?

1. Portability
2. Hardcoding
3. Duplication
4. Fragmentation

Correct Answer: 1

Explanation:

Portability allows automation logic to operate across different environments with minimal modification. A portable workflow separates environment-specific values from reusable processing logic and avoids unnecessary dependencies on a single infrastructure layout. For example, development, staging, and production environments can use the same automation framework while supplying different inventories or variables. Hardcoding creates environmental dependencies, duplication increases maintenance requirements, and fragmentation makes workflows more difficult to manage consistently. Designing for portability can help organizations reuse tested automation components while adapting them to multiple infrastructure contexts.

Question 78.

Which API mechanism allows a client to request only selected fields?

1. Field projection
2. Session encryption
3. Header signing
4. Payload compression

Correct Answer: 1

Explanation:

Field projection allows an API client to request only the information required for a particular operation when the API supports such functionality. Returning fewer fields can reduce response size, processing overhead, and unnecessary data handling. This can be particularly useful when automation retrieves large resource objects but only needs a small subset of attributes. Session encryption protects communications, header signing supports request integrity or authentication schemes, and payload compression reduces transmission size without changing which fields are logically returned. Engineers should consult the specific API documentation because field-selection syntax varies between implementations.

Question 79.

Which approach allows an automation workflow to continue processing after one noncritical item fails?

1. Per-item exception handling
2. Global shutdown
3. Manual intervention
4. Permanent suppression

Correct Answer: 1

Explanation:

Per-item exception handling allows an automation program to isolate failures associated with individual items while continuing to process other eligible items. For example, if one network device is temporarily unreachable, the workflow can record the failure and continue processing the remaining devices rather than terminating the entire operation. This design must be used carefully because some failures may indicate conditions that should stop the workflow entirely. Global shutdown is appropriate for certain critical failures, while permanent suppression can hide important problems. Controlled exception handling improves resilience while preserving visibility into unsuccessful operations.

Question 80.

Which practice verifies automation behavior before a major infrastructure rollout?

1. Preproduction validation
2. Immediate deployment
3. Unverified execution
4. Uncontrolled expansion

Correct Answer: 1

Explanation:

Preproduction validation evaluates automation workflows in a controlled environment before they are used for a major infrastructure rollout. Engineers can verify generated configurations, API interactions, expected state changes, error handling, and rollback procedures without exposing production infrastructure to unnecessary risk. The validation environment should resemble relevant production characteristics closely enough to reveal important compatibility or logic issues. Immediate deployment and unverified execution remove important safeguards, while uncontrolled expansion increases the potential impact of defects. Preproduction validation is therefore an important stage in a disciplined network automation lifecycle.