300-635勉強時間、300-635試験合格攻略

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Cisco 300-635 Exam Syllabus Topics:

Section	Weight	Objectives
Data Center Device-Centric Networking	30%	- NX-OS on-box programmability: Bash, Guest Shell, EEM, Python - NX-OS Day 0 provisioning: POAP, iPXE - NX-OS off-box automation: NX-API, NETCONF, Ansible - Model-driven telemetry: YANG, gRPC
Network Programmability Foundation	10%	- Python scripting fundamentals - Version control with Git - API styles: REST and RPC - Synchronous and asynchronous API consumption - Infrastructure automation tools: Ansible, Puppet - Python virtual environments
Controller-Based Data Center Networking	30%	- ACI policy model and application hosting - Python and Cobra SDK for ACI automation - ACI REST API and API Inspector - ACI integration with Kubernetes - Ansible playbooks for ACI
Data Center Compute Automation	30%	- Cisco UCS automation: PowerTool, Python SDK, Ansible - UCS Director workflows and REST API - Cisco Intersight API authentication and operations - DCNM API usage

>> 300-635勉強時間 <<

試験の準備方法-完璧な300-635勉強時間試験-有難い300-635試験合格攻略

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Cisco Automating Cisco Data Center Solutions (DCAUTO) 認定 300-635 試験問題 (Q15-Q20):

質問 # 15
A CI pipeline step runs `ansible-playbook deploy.yml -i inventory/dynamic_inventory.py` where
`dynamic_inventory.py` is a custom Python script instead of a static INI/YAML file. For Ansible to correctly treat this script as a dynamic inventory source, what requirement must the script fulfill?

A. It must import the `ansible.inventory` Python module and subclass `InventoryPlugin`
B. It must be executable and, when called with `--list`, output valid JSON representing groups and hosts (and support `--host <hostname>` for host-specific variables, per the Ansible dynamic inventory contract)
C. Dynamic inventory scripts are deprecated and no longer supported by any Ansible version
D. It must be named exactly `inventory.py`

正解：B

解説：
Ansible's dynamic inventory contract (for script-based inventories) requires the script to be executable and respond to `--list` with a JSON structure describing groups, hosts, and (optionally)
`_meta.hostvars`, plus optionally support `--host <hostname>` to return host-specific variables.
The filename itself is arbitrary as long as it's referenced correctly with `-i`. Subclassing
`InventoryPlugin` (Option C) describes the newer inventory *plugin* architecture (a different, YAML/plugin-based approach), not the classic script-based dynamic inventory mechanism - a nuance worth knowing since DCNAUTO may test either approach. Dynamic inventory scripts remain supported (D is false).

質問 # 16
Refer to the exhibit:

Refer to the exhibit: The code should create a new tenant named Cisco via the Cobra SDK, which shows up after the execution of this script in the APIC dashboard.
Which code must be inserted into the red box to create this tenant?

A. tenant - Tenant(topMo, name-Cisco')
B. Tenant = Tenant(topMo, name='Cisco')
C. Tenant = Tenant('Cisco')
D. Tenant = NewTenant(name='Cisco')

正解：B

質問 # 17
Regarding "AI in Automation" capabilities being introduced into data-center automation (e.g., AI- assisted configuration generation, anomaly detection, root-cause analysis), which statement most accurately describes their typical positioning in current Cisco data-center automation products (e.g., AI-related features in Nexus Dashboard)?

A. They are limited to generating static documentation and involve no real-time data analysis
B. They fully replace human engineers in making configuration change decisions
C. AI capabilities are limited to chatbot-style CLI translation and do not involve network telemetry analysis
D. They function as decision-support/augmentation tools - leveraging historical telemetry and ML models to assist anomaly detection, root-cause localization, and configuration suggestions, while actual changes still require human approval or an established approval workflow

正解：D

解説：
Whether looking at industry trends or Cisco's own product positioning (e.g., Nexus Dashboard Insights' anomaly detection/root-cause analysis, AI-assisted troubleshooting), the current role of AI capability is to **augment**, not replace, human decision-making - extracting insight from massive telemetry/log data, reducing MTTR, and suggesting configuration changes, while actual change execution remains embedded in existing change-management/approval processes to preserve stability and compliance. This tests correct understanding of the newly-added "AI in Automation" domain's positioning, avoiding the trap of over-interpreting it as "fully autonomous AI."

質問 # 18
When a switch boots it does not find its startup-config file. Drag and drop the steps that Power-On Auto Provisioning goes through to configure the switch for remote management from the left into the correct order on the right. Not all options are used.

正解：

解説：

Explanation:

Step 1 : The switch searches for a Domain Host Configuration Protocol service on the network Step 2 : DHCP assigns the switch an IP Address, default gateway, and IP address that are tracked by the Domain Name System server.
Step 3 : POAP gets the IP address of a script server, downloads the correct script for the switch, and runs the script on the switch.

質問 # 19
An engineer is configuring Global Dial Plan Replication. On one cluster, she would like to prevent the local cluster from routing calls to a specific pattern learned via ILS. What should be configured within the local CUCM cluster to accomplish this?

A. Create a block translation pattern
B. Create a block route pattern
C. Create a block transformation pattern
D. Create a blocking rule under block learned numbers and patterns

正解：D

解説：
Explanation

質問 # 20
......

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300-635試験合格攻略: https://www.it-passports.com/300-635.html

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