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Cisco 300-635 Exam Syllabus Topics:

Section	Weight	Objectives
Operations and AI in Automation	15%	- AI Integration 1. AI assistance in automation tasks 2. Anomaly detection basics - Automation Operations 1. Troubleshooting automated workflows 2. Monitoring and validation
Infrastructure as Code (IaC)	25%	- IaC Implementation 1. Construct Jinja2 templates 2. Ansible playbook construction 3. Troubleshoot IaC solutions - IaC with Terraform 1. Terraform plan construction 2. Terraform provider usage
Network Automation Foundation	15%	- Tools and Frameworks 1. Infrastructure as Code (IaC) 2. Ansible automation 3. Terraform plans - Automation Concepts 1. Version control fundamentals (Git) 2. OpenConfig and YANG models 3. Python basics for automation 4. API styles (REST, RPC)
Controller-Based Automation	20%	- NX-OS and Nexus Dashboard 1. Controller-based configurations 2. NX-API usage - ACI Automation 1. Python scripting with ACI REST API 2. ACI object model automation 3. Ansible modules for ACI
Network Element Programmability	25%	- Device Provisioning and Automation 1. On-box automation with Bash and Python 2. Template usage on Nexus Dashboard 3. Day-0 provisioning (POAP, iPXE) - APIs and Automation Tools 1. RESTCONF/NETCONF usage 2. gRPC and gNOI basics

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Cisco Automating Cisco Data Center Solutions (DCAUTO) Sample Questions (Q51-Q56):

NEW QUESTION # 51
Which action allows Docker daemon persistence during switchover on the Cisco Nexus 9500 Series Switches running Cisco NX-OS?

A. Copy the dockerpart file manually to the standby supervisor before performing the switchover.
B. Copy the dockerpart file manually to the standby supervisor after performing the switchover
C. The system takes automatic action
D. Change the Docker configuration to include the live restore option.

Answer: D

NEW QUESTION # 52
An engineer wants to add a software conference bridge on Cisco Unified Communications Manager web admin and cannot find the option to do so. What is one cause of this?

A. Enterprise Parameters have not been set to allow this.
B. The CUCM Cluster is using the maximum number of allowed subscribers.
C. Service Parameters have not been set to allow this
D. A software conference bridge cannot be added to CUCM by using Conference Bridge Configuration.

Answer: D

Explanation:
Explanation/Reference: https://www.cisco.com/c/en/us/td/docs/voice_ip_comm/cucm/admin/11_5_1/sysConfig/ CUCM_BK_SE5DAF88_00_cucm-system-configuration-guide-1151/CUCM_BK_SE5DAF88_00_cucm- system-configuration-guide-1151_chapter_01000000.html

NEW QUESTION # 53
An engineer is asked to justify, in a design review, why their team chose to implement network automation using a combination of Ansible for configuration push and pyATS/Genie for state validation, rather than relying solely on Ansible's `changed`/`failed` status as the definition of
"success." Which statement best articulates the technical justification expected at this exam's difficulty level?

A. pyATS/Genie is required because Ansible cannot connect to Cisco devices at all
B. Using two separate tools is purely a matter of preference with no technical justification
C. Ansible's `changed`/`failed` status only reflects whether the automation tool successfully executed its intended module logic (e.g., pushed configuration or detected no diff); it does not independently verify that the resulting live operational state of the network matches the intended design, which requires a separate state-validation layer like pyATS/Genie querying and asserting against actual device operational data
D. `changed`/`failed` status and true operational correctness are always equivalent, so pyATS/Genie is redundant

Answer: C

Explanation:
This capstone-style question ties together the recurring theme across this set: automation
"success" as reported by a configuration-management tool (task completed, no errors, config pushed or already matching) is a different guarantee than "the network is actually operating as intended" (protocols converged, neighbors up, traffic forwarding correctly). Robust designs separate these concerns - declarative configuration tools (Ansible) for desired-state enforcement, and operational-state validation tools (pyATS/Genie) for independently confirming the live network matches intent - rather than conflating the two, which is exactly the trap in options C and D: Ansible fully supports Cisco device connectivity via its network collections, so B is false.

NEW QUESTION # 54
Drag and drop the code to complete an Ansible playbook that creates a new tenant. Not all options are used.

Answer:

Explanation:

NEW QUESTION # 55
An engineer building a network CI/CD pipeline wants automated tests to validate not just "did the playbook run without errors" but also "does the resulting device state match the intended design" (e.g., correct BGP neighbor count, correct VLAN membership) after deployment. Which testing approach best fits this requirement?

A. Only check HTTP response codes from the APIC/NDFC API during deployment
B. Rely solely on Ansible's `changed`/`failed` task status
C. Post-deployment state validation using a tool like pyATS/Genie (or Ansible facts-gathering modules) to query live operational state and assert it against expected values, run as a distinct test stage after configuration deployment
D. Rely on visual inspection of the CLI output in the Jenkins console log

Answer: C

Explanation:
Whether a playbook "succeeded" (no errors, or reported changes) is not the same as verifying the device's actual operational state matches intent. Robust network CI/CD pipelines add a distinct post-deployment validation/testing stage that queries live state (via pyATS/Genie parsers, Ansible `*_facts` modules, or direct API/CLI queries) and asserts against expected values (e.g., BGP neighbor state = Established, VLAN membership correct). Options A, C, and D all conflate
"the automation tool ran" with "the network is in the correct state," a distinction DCNAUTO explicitly tests in the Operations domain.

NEW QUESTION # 56
......

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