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The advantages surpassing others
Cisco 300-635 Exam Topics:
| Section | Weight | Objectives |
|---|---|---|
| Network Programmability Foundation | 10% | - Utilize common version control operations with git: add, clone, push, commit, diff, branching, merging conflict - Describe characteristics of API styles (REST and RPC)- Describe the challenges encountered and patterns used when consuming APIs synchronously and asynchronously- Interpret Python scripts containing data types, functions, classes, conditions, and looping - Describe the benefits of Python virtual environments- Explain the benefits of using network configuration tools such as Ansible and Puppet for automating data center platforms |
| Data Center Compute | 30% | - Configure Cisco UCS with developer tools
- Identify the steps in the Intersight API authentication method- Construct an Intersight API call given documentation to accomplish tasks such as manage server policies, service profiles, and firmware updates- Describe the process to implement workflows for physical and virtual infrastructure using UCS Director
|
| Controller Based Data Center Networking | 30% | - Describe the following:
- Construct a Python script to create an application policy using the ACI REST API - Construct a Python script to create an application policy using the ACI Cobra SDK - Construct an Ansible playbook to create an application policy - Describe the benefits of integrating Kubernetes infrastructure using the ACI CNI plugin |
| Data Center Device-centric Networking | 30% | - Describe Day 0 provisioning with NX-OS
- Implement On-Box Programmability and Automation with NX-OS
- Construct Python script that consumes model-driven telemetry data with NX-OS - Implement Off-Box Programmability and Automation with NX-OS
|
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The Overview of 300-635 Exam Domains
Cisco 300-635 aims at concepts like programming, orchestration, and automation tools using four domains. Each of them carries different weightage and has a focus on different skill sets. The details are provided below.
Cisco Automating Cisco Data Center Solutions (DCAUTO) Sample Questions:
Refer to the exhibit. Assuming a new ACI instance, what is the result when this script is run?
- A. Ten objects are created.
- B. Ten objects are created and subsequently deleted.
- C. Nine objects are created.
- D. An exception is thrown.
Correct Answer: C 🗳️
An engineer uses pyATS/Genie to parse the output of `show interface` on an NX-OS device and validate operational state as part of a CI pipeline. The parsed output is a nested Python dictionary. Which Genie feature should be used to compare "before" and "after" snapshots of the same command output and automatically highlight only the differences?
- A. `testbed.load()`
- B. `Diff` (genie.utils.diff)
- C. `genie parse`
- D. `genie learn`
Correct Answer: B 🗳️
Explanation: Only visible for TrainingDumps members. You can sign-up / login (it's free).
Refer to the exhibit. Which Ansible module is needed in line 8 to create a new VLAN 10 on the hosts defined in the "ucs" group?
- A. nxos_vlans
- B. ucs_vlans
- C. vlan
- D. vlans
Correct Answer: B 🗳️
In Terraform, an engineer defines an ACI Tenant resource and an EPG resource in separate `.tf` files, with the EPG resource referencing the Tenant via `aci_tenant.example.id`. When running
`terraform apply` for the first time, Terraform automatically creates the Tenant before the EPG.
What Terraform mechanism ensures this ordering without the engineer manually specifying
`depends_on`?
- A. Terraform requires `depends_on` for every resource; without it, ordering is random
- B. Terraform applies resources in the exact top-to-bottom order they appear across all files
- C. Terraform always creates resources in alphabetical order by resource type
- D. Terraform builds an implicit dependency graph based on resource attribute references (interpolation), and automatically orders resource creation accordingly
Correct Answer: D 🗳️
Explanation: Only visible for TrainingDumps members. You can sign-up / login (it's free).
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. Rely solely on Ansible's `changed`/`failed` task status
- B. Rely on visual inspection of the CLI output in the Jenkins console log
- C. Only check HTTP response codes from the APIC/NDFC API during deployment
- D. 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
Correct Answer: D 🗳️
Explanation: Only visible for TrainingDumps members. You can sign-up / login (it's free).
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