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Cisco 300-635 Exam Syllabus Topics:

Section	Objectives
Topic 1: Cisco Data Center Automation Fundamentals	- Cisco APIs and automation models 1. Data formats (JSON, XML) 2. Authentication methods (Token, OAuth concepts) 3. REST API usage in Cisco platforms
Topic 2: Troubleshooting and Validation	- Automation verification and debugging 1. Configuration drift detection 2. API response validation
Topic 3: Cisco UCS Automation	- Unified Computing System (UCS) automation 1. UCS Manager APIs 2. Service profile automation concepts
Topic 4: Cisco NX-OS and Data Center Switching Automation	- NX-OS programmability 1. NX-API usage 2. Automation of switch configuration tasks 3. NETCONF and RESTCONF concepts
Topic 5: Cisco ACI Automation	- Application Centric Infrastructure (ACI) automation 1. ACI object model 2. APIC REST API interactions 3. Policy-based configuration automation
Topic 6: Scripting and Automation Tools	- Python and automation frameworks 1. Automation libraries and SDK usage 2. Ansible playbooks for Cisco environments 3. Python scripting for network automation

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Cisco Automating Cisco Data Center Solutions (DCAUTO) Sample Questions (Q112-Q117):

NEW QUESTION # 112
Refer to the exhibit

Which action does the execution of this ACI Cobra Python code perform?

A. It prints all Cisco Discovery Protocol neighbor MAC and IP addresses
B. It prints all endpoint MAC and IP addresses
C. It prints all LLDP neighbor MAC and IP addresses
D. It prints all APIC MAC and IP addresses

Answer: B

NEW QUESTION # 113
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. 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
B. `changed`/`failed` status and true operational correctness are always equivalent, so pyATS/Genie is redundant
C. pyATS/Genie is required because Ansible cannot connect to Cisco devices at all
D. Using two separate tools is purely a matter of preference with no technical justification

Answer: A

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 # 114
Using the NX-API CLI JSON-RPC interface, which two Python data structure and requests call create an SVI? (Choose two.)

Answer: A,E

NEW QUESTION # 115
When should the API Inspector be used?

A. to learn or identify the sequence of API calls for a specific operation in the APIC GUI
B. to send an API request to the APIC
C. to launch an Ansible playbook
D. to verify the XML structure of an object based on a specific operation in the APIC GUI

Answer: A

NEW QUESTION # 116
When using the Cisco ACI Cobra SDK (Python ACI SDK) to manipulate managed objects, which step is the **necessary final action to actually commit changes to APIC**?

A. `mo.setAttr()`
B. Wrap the modified objects in a `cobra.mit.request.ConfigRequest()` and call
`moDir.commit(config_req)`
C. `moDir.login()`
D. `moDir.query()`

Answer: B

Explanation:
The typical Cobra SDK workflow is: 1) log in (`login`), 2) build/modify the managed object (MO) tree locally (`setAttr`, creating child objects, etc.), 3) wrap the modified objects into a
`ConfigRequest`, and 4) call `moDir.commit()` - only this actually pushes the configuration to APIC. Calling `setAttr()` alone only sets a local "dirty flag" on the in-memory object tree and produces no network traffic; `query()` reads rather than writes. This tests understanding of Cobra's local-object-tree-plus-explicit-commit programming model, a finer point of Network Element Programmability.

NEW QUESTION # 117
......

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