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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Network Programmability Foundation | 10% | - API styles: REST and RPC - Python virtual environments - Python scripting fundamentals - Synchronous and asynchronous API consumption - Version control with Git - Infrastructure automation tools: Ansible, Puppet |
| Topic 2: Data Center Compute Automation | 30% | - Cisco Intersight API authentication and operations - Cisco UCS automation: PowerTool, Python SDK, Ansible - DCNM API usage - UCS Director workflows and REST API |
| Topic 3: Data Center Device-Centric Networking | 30% | - NX-OS Day 0 provisioning: POAP, iPXE - Model-driven telemetry: YANG, gRPC - NX-OS off-box automation: NX-API, NETCONF, Ansible - NX-OS on-box programmability: Bash, Guest Shell, EEM, Python |
| Topic 4: Controller-Based Data Center Networking | 30% | - Ansible playbooks for ACI - ACI integration with Kubernetes - Python and Cobra SDK for ACI automation - ACI policy model and application hosting - ACI REST API and API Inspector |
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NEW QUESTION # 27
Using Python's `requests` library to authenticate against the APIC REST API, which of the following code snippets correctly carries the authentication cookie on subsequent requests without re-logging in each time?
python
# Option A
resp = requests.post(url, json=payload, verify=False)
token = resp.json()['imdata'][0]['aaaLogin']['attributes']['token']
headers = {'Cookie': f'APIC-cookie={token}'}
requests.get(next_url, headers=headers, verify=False)
# Option B
session = requests.Session()
session.post(url, json=payload, verify=False)
session.get(next_url, verify=False)
Answer: A
Explanation:
On successful login, APIC returns an `APIC-cookie` via `Set-Cookie` header, and the response body JSON also includes a `token` field (used for things like WebSocket subscriptions). Option A manually extracts the token and constructs the Cookie header - manual session management.
Option B uses `requests.Session()`, which automatically stores and replays the server's `Set- Cookie` header on subsequent requests - automatic session management. Both ultimately authenticate successfully, but via different mechanisms. This tests depth of understanding of REST session handling, not just "the one correct syntax."
NEW QUESTION # 28
In the following YANG model fragment, what is the key distinction between `container` and `list`?
yang
container interfaces {
list interface {
key "name";
leaf name { type string; }
leaf enabled { type boolean; }
}
}
Answer: B
Explanation:
In YANG, `container` is a grouping node with exactly one instance (similar to a struct/namespace); `list` represents a collection of same-typed entries, each uniquely identified by a `key`, and can have zero to many instances (similar to a database table). This distinction is critical when constructing NETCONF/RESTCONF XML/JSON payloads: list entries appear as array elements in JSON, while a container is a single object. This is a high-frequency fundamental in the Network Element Programmability domain.
NEW QUESTION # 29
An engineer configures NX-API on a Nexus switch and needs to enable both the HTTPS-based REST interface and the Sandbox UI for testing. Which configuration command sequence is required at minimum?
Answer: B
Explanation:
NX-API requires the `feature nxapi` command to enable the underlying service, after which HTTPS (and optionally HTTP) can be configured, e.g. `nxapi https port 443`. `feature bash-shell` enables the Linux shell/Guestshell access, unrelated to NX-API's REST service. `feature restconf` enables the separate RESTCONF/YANG-based interface, which is a distinct API from the legacy NX-API CLI-wrapper interface - a common point of confusion since both are "REST- like" but serve very different data models (NX-API wraps CLI; RESTCONF exposes YANG- modeled data).
NEW QUESTION # 30
Refer to the exhibit:
Refer to the exhibit, Where and how often does the subscription stream data for Ethernet port 1/1?
Answer: C
Explanation:
The configuration snippet from a network device indicates that telemetry settings are being configured for Ethernet port 1/1. The data is collected and streamed to four different destinations, each with a unique port number. The sample-interval is set to '100000', which is typically in microseconds. Therefore, the data is streamed every 100 milliseconds, as 100,000 microseconds equals 100 milliseconds.
References:
* Implementing Automation for Cisco Data Center Solutions (DCAUI) course page.
* Cisco Data Center Training Videos.
NEW QUESTION # 31
A data-center team wants to add a "pre-change validation" stage in their CI/CD pipeline for Ansible playbooks that modify network configuration - validating playbook syntax and module parameters without actually pushing configuration. Which command/option should be used?
Answer: D
Explanation:
This is a comparison question: `--syntax-check` only parses playbook YAML/syntax and never connects to target hosts; `--check` (Check/Dry-Run Mode) connects to targets and simulates
"what would change if this actually ran," though not all network modules fully support check mode; `ansible-lint` is a static code-quality/best-practices linter, catching style issues rather than actual syntax errors or device connectivity problems. Production CI/CD pipelines typically layer all three (Lint → Syntax Check → Check Mode → Apply). DCNAUTO's IaC domain favors questions about combining similar-sounding options rather than picking one.
NEW QUESTION # 32
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