Pass Cisco DEVASC 200-901 Exam in First Attempt Easily
Real Cisco DEVASC 200-901 Exam Questions, Accurate & Verified Answers As Experienced in the Actual Test!

Verified by experts
3 products

You save $69.98

200-901 Premium Bundle

  • Premium File 431 Questions & Answers
  • Last Update: Nov 9, 2026
  • Training Course 11 Lectures
  • Study Guide 1212 Pages
$79.99 $149.97

Purchase Individually

  • Premium File

    431 Questions & Answers
    Last Update: Nov 9, 2026

    $76.99
    $69.99
  • Training Course

    11 Lectures

    $43.99
    $39.99
  • Study Guide

    1212 Pages

    $43.99
    $39.99

DevNet Associate (DEVASC) 200-901 Practice Test 3

Question 20

The initial implementation fails or does not meet the expected behavior. An API returns {"enabled":false,"retries":0} but a team treats every JSON value as a string when constructing its Python state. Which investigation should be prioritized to diagnose the problem?

  1. Inspect the parsed node attrib mapping and findtext result with a representative response.
  2. Inspect function boundaries, call graph and tests for each responsibility.
  3. Check parsed types with isinstance and compare raw payload versus loaded object.
  4. Inspect route functions, model access layer and view templates after a sample field change.

Explanation

Correct Answer

C:

Check parsed types with isinstance and compare raw payload versus loaded object. These are the relevant initial evidence checks for Preserve numeric and boolean data types. Intended action: Deserialize JSON into native boolean and numeric types before evaluating policy decisions. Expected success condition: The disabled flag evaluates false and the integer retry count remains zero without string comparisons.

Incorrect Answers

A:

Inspect the parsed node attrib mapping and findtext result with a representative response. This investigation primarily applies to Distinguish XML attribute from element text, not the current Preserve numeric and boolean data types problem. Prioritize: Check parsed types with isinstance and compare raw payload versus loaded object.

B:

Inspect function boundaries, call graph and tests for each responsibility. This investigation primarily applies to Single responsibility for inventory processing, not the current Preserve numeric and boolean data types problem. Prioritize: Check parsed types with isinstance and compare raw payload versus loaded object.

D:

Inspect route functions, model access layer and view templates after a sample field change. This investigation primarily applies to MVC isolates controller logic from UI, not the current Preserve numeric and boolean data types problem. Prioritize: Check parsed types with isinstance and compare raw payload versus loaded object.

Question 21

A Cisco network automation team has this requirement: A controller returns {"devices":[{"id":"r1","status":"up"}]} and code fails by indexing the devices array as a dictionary. Which design or implementation action best addresses it?

  1. Use an XML parser with explicit namespace mappings to select the required interface elements.
  2. Use response.json() then iterate the list under the devices key to access each device dictionary.
  3. Stage the reviewed parser path explicitly and confirm the index before committing.
  4. Plan short iterations with a prioritized backlog and working increments reviewed by users.

Explanation

Correct Answer

B:

Use response.json() then iterate the list under the devices key to access each device dictionary. Technical reason: Nested JSON arrays become Python lists containing dictionary objects. Verify by: A test response returns router r1 with status up without TypeError or wrong indexing. Deployment qualification: The exact container keys and object shapes depend on the published endpoint schema.

Incorrect Answers

A:

Use an XML parser with explicit namespace mappings to select the required interface elements. This instead targets the different case XML namespaces in network configuration. The described Parse nested device lists into Python requirement specifically calls for Use response.json() then iterate the list under the devices key to access each device dictionary.

C:

Stage the reviewed parser path explicitly and confirm the index before committing. This instead targets the different case Stage only the intended file before commit. The described Parse nested device lists into Python requirement specifically calls for Use response.json() then iterate the list under the devices key to access each device dictionary.

D:

Plan short iterations with a prioritized backlog and working increments reviewed by users. This instead targets the different case Agile iteration for uncertain feature requirements. The described Parse nested device lists into Python requirement specifically calls for Use response.json() then iterate the list under the devices key to access each device dictionary.

Question 22

After deployment, an engineer must prove the proposed solution works. A controller returns {"devices":[{"id":"r1","status":"up"}]} and code fails by indexing the devices array as a dictionary. Which observed result is the most direct acceptance evidence?

  1. Measured lead time decreases without bypassing security review or deployment verification.
  2. Both improvements arrive as distinct commits with an auditable merge history.
  3. Each approved phase has signed requirements, design, deployment and final verification artifacts.
  4. A test response returns router r1 with status up without TypeError or wrong indexing.

Explanation

Correct Answer

D:

A test response returns router r1 with status up without TypeError or wrong indexing. Recommended implementation: Use response.json() then iterate the list under the devices key to access each device dictionary. Why the observation matters: Nested JSON arrays become Python lists containing dictionary objects.

Incorrect Answers

A:

Measured lead time decreases without bypassing security review or deployment verification. That observation could confirm Lean removal of redundant handoffs, not the current Parse nested device lists into Python case. For this case, the decisive observation is: A test response returns router r1 with status up without TypeError or wrong indexing.

B:

Both improvements arrive as distinct commits with an auditable merge history. That observation could confirm Branch isolation for competing fixes, not the current Parse nested device lists into Python case. For this case, the decisive observation is: A test response returns router r1 with status up without TypeError or wrong indexing.

C:

Each approved phase has signed requirements, design, deployment and final verification artifacts. That observation could confirm Waterfall for a tightly approved migration, not the current Parse nested device lists into Python case. For this case, the decisive observation is: A test response returns router r1 with status up without TypeError or wrong indexing.

Question 23

A developer is explaining the underlying technical behavior. A controller returns {"devices":[{"id":"r1","status":"up"}]} and code fails by indexing the devices array as a dictionary. Which principle is most relevant to this case?

  1. JSON natively expresses objects and arrays while XML represents data as elements and attributes.
  2. Branches isolate concurrent work until an intentional integration step.
  3. Nested JSON arrays become Python lists containing dictionary objects.
  4. Git separates working-tree edits from the staging index and committed snapshot.

Explanation

Correct Answer

C:

Nested JSON arrays become Python lists containing dictionary objects. This mechanism explains Parse nested device lists into Python. Action: Use response.json() then iterate the list under the devices key to access each device dictionary. Expected confirmation: A test response returns router r1 with status up without TypeError or wrong indexing.

Incorrect Answers

A:

JSON natively expresses objects and arrays while XML represents data as elements and attributes. This relates to JSON versus XML for a telemetry consumer. In the current Parse nested device lists into Python case the operative principle is: Nested JSON arrays become Python lists containing dictionary objects.

B:

Branches isolate concurrent work until an intentional integration step. This relates to Branch isolation for competing fixes. In the current Parse nested device lists into Python case the operative principle is: Nested JSON arrays become Python lists containing dictionary objects.

D:

Git separates working-tree edits from the staging index and committed snapshot. This relates to Stage only the intended file before commit. In the current Parse nested device lists into Python case the operative principle is: Nested JSON arrays become Python lists containing dictionary objects.

Question 24

A team does not apply the necessary control or correction. A controller returns {"devices":[{"id":"r1","status":"up"}]} and code fails by indexing the devices array as a dictionary. Which resulting failure or risk is most directly relevant?

  1. The string "false" is truthy in Python and could mistakenly enable a feature.
  2. Duplicated code can diverge and keep a known rate-limit defect in one workflow.
  3. Live-only tests confound parser defects with connection outages and API throttling.
  4. Assuming every JSON level is a dictionary makes valid nested responses fail.

Explanation

Correct Answer

D:

Assuming every JSON level is a dictionary makes valid nested responses fail. This is the direct exposure for Parse nested device lists into Python. Mitigate with: Use response.json() then iterate the list under the devices key to access each device dictionary. Check success by: A test response returns router r1 with status up without TypeError or wrong indexing.

Incorrect Answers

A:

The string "false" is truthy in Python and could mistakenly enable a feature. This risk occurs in the different Preserve numeric and boolean data types situation. For the given Parse nested device lists into Python requirement, the directly relevant risk is: Assuming every JSON level is a dictionary makes valid nested responses fail.

B:

Duplicated code can diverge and keep a known rate-limit defect in one workflow. This risk occurs in the different Extract repeated API retry logic into a function situation. For the given Parse nested device lists into Python requirement, the directly relevant risk is: Assuming every JSON level is a dictionary makes valid nested responses fail.

C:

Live-only tests confound parser defects with connection outages and API throttling. This risk occurs in the different Mock external HTTP calls in unit tests situation. For the given Parse nested device lists into Python requirement, the directly relevant risk is: Assuming every JSON level is a dictionary makes valid nested responses fail.

Question 25

The initial implementation fails or does not meet the expected behavior. A controller returns {"devices":[{"id":"r1","status":"up"}]} and code fails by indexing the devices array as a dictionary. Which investigation should be prioritized to diagnose the problem?

  1. Inspect type(value) at each nested level and reproduce against a minimal fixture.
  2. Inspect function boundaries, call graph and tests for each responsibility.
  3. Inspect route functions, model access layer and view templates after a sample field change.
  4. Check parsed types with isinstance and compare raw payload versus loaded object.

Explanation

Correct Answer

A:

Inspect type(value) at each nested level and reproduce against a minimal fixture. These are the relevant initial evidence checks for Parse nested device lists into Python. Intended action: Use response.json() then iterate the list under the devices key to access each device dictionary. Expected success condition: A test response returns router r1 with status up without TypeError or wrong indexing.

Incorrect Answers

B:

Inspect function boundaries, call graph and tests for each responsibility. This investigation primarily applies to Single responsibility for inventory processing, not the current Parse nested device lists into Python problem. Prioritize: Inspect type(value) at each nested level and reproduce against a minimal fixture.

C:

Inspect route functions, model access layer and view templates after a sample field change. This investigation primarily applies to MVC isolates controller logic from UI, not the current Parse nested device lists into Python problem. Prioritize: Inspect type(value) at each nested level and reproduce against a minimal fixture.

D:

Check parsed types with isinstance and compare raw payload versus loaded object. This investigation primarily applies to Preserve numeric and boolean data types, not the current Parse nested device lists into Python problem. Prioritize: Inspect type(value) at each nested level and reproduce against a minimal fixture.

Question 26

A Cisco network automation team has this requirement: A local automation repository accepts pull requests that change YAML configuration and a proposed loader enables arbitrary Python object deserialization. Which design or implementation action best addresses it?

  1. Parse the YAML configuration locally and serialize the API request as JSON matching its declared schema.
  2. Stage the reviewed parser path explicitly and confirm the index before committing.
  3. Use yaml.safe_load with schema validation for the untrusted configuration document.
  4. Publish a device-state event and let independent registered subscribers handle notifications.

Explanation

Correct Answer

C:

Use yaml.safe_load with schema validation for the untrusted configuration document. Technical reason: Safe YAML loaders restrict object construction to supported data types. Verify by: A harmless mapping parses while a malicious Python-specific constructor is rejected. Deployment qualification: Safe parsing does not replace validation of allowed device names and address ranges.

Incorrect Answers

A:

Parse the YAML configuration locally and serialize the API request as JSON matching its declared schema. This instead targets the different case YAML config versus JSON API body. The described Safely parse YAML without object construction requirement specifically calls for Use yaml.safe_load with schema validation for the untrusted configuration document.

B:

Stage the reviewed parser path explicitly and confirm the index before committing. This instead targets the different case Stage only the intended file before commit. The described Safely parse YAML without object construction requirement specifically calls for Use yaml.safe_load with schema validation for the untrusted configuration document.

D:

Publish a device-state event and let independent registered subscribers handle notifications. This instead targets the different case Observer for device event subscribers. The described Safely parse YAML without object construction requirement specifically calls for Use yaml.safe_load with schema validation for the untrusted configuration document.

Question 27

After deployment, an engineer must prove the proposed solution works. A local automation repository accepts pull requests that change YAML configuration and a proposed loader enables arbitrary Python object deserialization. Which observed result is the most direct acceptance evidence?

  1. A disputed rule deletion can be traced to a specific commit and compared with the prior revision.
  2. All four callers use the same bounded retry behavior when a simulated 429 occurs.
  3. A harmless mapping parses while a malicious Python-specific constructor is rejected.
  4. The disabled flag evaluates false and the integer retry count remains zero without string comparisons.

Explanation

Correct Answer

C:

A harmless mapping parses while a malicious Python-specific constructor is rejected. Recommended implementation: Use yaml.safe_load with schema validation for the untrusted configuration document. Why the observation matters: Safe YAML loaders restrict object construction to supported data types.

Incorrect Answers

A:

A disputed rule deletion can be traced to a specific commit and compared with the prior revision. That observation could confirm Git history for configuration rollback, not the current Safely parse YAML without object construction case. For this case, the decisive observation is: A harmless mapping parses while a malicious Python-specific constructor is rejected.

B:

All four callers use the same bounded retry behavior when a simulated 429 occurs. That observation could confirm Extract repeated API retry logic into a function, not the current Safely parse YAML without object construction case. For this case, the decisive observation is: A harmless mapping parses while a malicious Python-specific constructor is rejected.

D:

The disabled flag evaluates false and the integer retry count remains zero without string comparisons. That observation could confirm Preserve numeric and boolean data types, not the current Safely parse YAML without object construction case. For this case, the decisive observation is: A harmless mapping parses while a malicious Python-specific constructor is rejected.

Question 28

A developer is explaining the underlying technical behavior. A local automation repository accepts pull requests that change YAML configuration and a proposed loader enables arbitrary Python object deserialization. Which principle is most relevant to this case?

  1. MVC separates state/data, interaction coordination and user-interface rendering.
  2. Regression tests retain known defect-triggering inputs as executable contracts.
  3. Safe YAML loaders restrict object construction to supported data types.
  4. Branches isolate concurrent work until an intentional integration step.

Explanation

Correct Answer

C:

Safe YAML loaders restrict object construction to supported data types. This mechanism explains Safely parse YAML without object construction. Action: Use yaml.safe_load with schema validation for the untrusted configuration document. Expected confirmation: A harmless mapping parses while a malicious Python-specific constructor is rejected.

Incorrect Answers

A:

MVC separates state/data, interaction coordination and user-interface rendering. This relates to MVC isolates controller logic from UI. In the current Safely parse YAML without object construction case the operative principle is: Safe YAML loaders restrict object construction to supported data types.

B:

Regression tests retain known defect-triggering inputs as executable contracts. This relates to Regression test after parser bug fix. In the current Safely parse YAML without object construction case the operative principle is: Safe YAML loaders restrict object construction to supported data types.

D:

Branches isolate concurrent work until an intentional integration step. This relates to Branch isolation for competing fixes. In the current Safely parse YAML without object construction case the operative principle is: Safe YAML loaders restrict object construction to supported data types.

Question 29

A team does not apply the necessary control or correction. A local automation repository accepts pull requests that change YAML configuration and a proposed loader enables arbitrary Python object deserialization. Which resulting failure or risk is most directly relevant?

  1. A broad add can accidentally commit secrets unrelated to the approved change.
  2. Unsafe deserialization can instantiate executable objects from attacker-controlled YAML.
  3. Duplicated code can diverge and keep a known rate-limit defect in one workflow.
  4. The string "false" is truthy in Python and could mistakenly enable a feature.

Explanation

Correct Answer

B:

Unsafe deserialization can instantiate executable objects from attacker-controlled YAML. This is the direct exposure for Safely parse YAML without object construction. Mitigate with: Use yaml.safe_load with schema validation for the untrusted configuration document. Check success by: A harmless mapping parses while a malicious Python-specific constructor is rejected.

Incorrect Answers

A:

A broad add can accidentally commit secrets unrelated to the approved change. This risk occurs in the different Stage only the intended file before commit situation. For the given Safely parse YAML without object construction requirement, the directly relevant risk is: Unsafe deserialization can instantiate executable objects from attacker-controlled YAML.

C:

Duplicated code can diverge and keep a known rate-limit defect in one workflow. This risk occurs in the different Extract repeated API retry logic into a function situation. For the given Safely parse YAML without object construction requirement, the directly relevant risk is: Unsafe deserialization can instantiate executable objects from attacker-controlled YAML.

D:

The string "false" is truthy in Python and could mistakenly enable a feature. This risk occurs in the different Preserve numeric and boolean data types situation. For the given Safely parse YAML without object construction requirement, the directly relevant risk is: Unsafe deserialization can instantiate executable objects from attacker-controlled YAML.

Question 30

The initial implementation fails or does not meet the expected behavior. A local automation repository accepts pull requests that change YAML configuration and a proposed loader enables arbitrary Python object deserialization. Which investigation should be prioritized to diagnose the problem?

  1. Inspect subscriber registration, event dispatch and a controlled down/up notification test.
  2. Inspect function boundaries, call graph and tests for each responsibility.
  3. Review loader API, accepted YAML tags, and a controlled rejection test.
  4. Capture outbound Content-Type and body bytes, and compare them against the endpoint example.

Explanation

Correct Answer

C:

Review loader API, accepted YAML tags, and a controlled rejection test. These are the relevant initial evidence checks for Safely parse YAML without object construction. Intended action: Use yaml.safe_load with schema validation for the untrusted configuration document. Expected success condition: A harmless mapping parses while a malicious Python-specific constructor is rejected.

Incorrect Answers

A:

Inspect subscriber registration, event dispatch and a controlled down/up notification test. This investigation primarily applies to Observer for device event subscribers, not the current Safely parse YAML without object construction problem. Prioritize: Review loader API, accepted YAML tags, and a controlled rejection test.

B:

Inspect function boundaries, call graph and tests for each responsibility. This investigation primarily applies to Single responsibility for inventory processing, not the current Safely parse YAML without object construction problem. Prioritize: Review loader API, accepted YAML tags, and a controlled rejection test.

D:

Capture outbound Content-Type and body bytes, and compare them against the endpoint example. This investigation primarily applies to YAML config versus JSON API body, not the current Safely parse YAML without object construction problem. Prioritize: Review loader API, accepted YAML tags, and a controlled rejection test.

DevNet Associate (DEVASC) (200-901) Practice Tests

Purchase Individually

  • Premium File

    431 Questions & Answers
    Last Update: Nov 9, 2026

    $76.99
    $69.99
  • Training Course

    11 Lectures

    $43.99
    $39.99
  • Study Guide

    1212 Pages

    $43.99
    $39.99

SPECIAL OFFER: GET 10% OFF
This is ONE TIME OFFER

You save
10%

Enter Your Email Address to Receive Your 10% Off Discount Code

SPECIAL OFFER: GET 10% OFF

You save
10%

Use Discount Code:

A confirmation link was sent to your e-mail.

Please check your mailbox for a message from support@examlabs.com and follow the directions.

Download Free Demo of VCE Exam Simulator

Experience Avanset VCE Exam Simulator for yourself.

Simply submit your email address below to get started with our interactive software demo of your free trial.

  • Realistic exam simulation and exam editor with preview functions
  • Whole exam in a single file with several different question types
  • Customizable exam-taking mode & detailed score reports