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Juniper JN0-481 - Data Center - Specialist (JNCIS-DC)

Last Update Apr 08, 2026

Juniper Certification Exams Pack

Everything from Basic, plus:
  • Exam Name: Data Center - Specialist (JNCIS-DC)
  • 65 Questions Answers with Explanation Detail
  • Total Questions: 65 Q&A's
  • Single Choice Questions: 40 Q&A's
  • Multiple Choice Questions: 25 Q&A's


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Total Questions: 65
Free Practice Questions: 19

Which element of an intent-based analytics (IBA) probe is used to specify the database objects to which the probe will apply?

Options:

A.

Reference design schema

B.

Graph query

C.

Database nodes

D.

Node-edge relationship

Answer
B
Explanation

In Apstra 5.1, Intent-Based Analytics (IBA) is built on Apstra’s graph-based source of truth, where devices, interfaces, links, routing constructs, and services are represented as nodes with relationships. An IBA probe is effectively a processing pipeline (a directed acyclic graph of stages and processors) that ingests telemetry and then performs calculations, aggregations, and anomaly detection. To make any of that work, the probe must first determine which specific objects in the graph—for example, which leaf switches, which uplinks, which BGP sessions, or which interface counters—should be included in the analysis.

The probe element that selects those objects is the graph query. A graph query is evaluated against Apstra’s graph database to return a set of matching nodes/relationships; those query results then become the scope for ingestion and subsequent processing. In other words, the graph query defines “apply this probe to these devices/interfaces/sessions,” and it also provides the context used to bind telemetry identities (key-value pairs describing the metric source) to the correct logical objects in the blueprint. This is why Apstra documentation describes early probe processors producing outputs whose cardinality aligns with the number of results returned by the specified graph query(s). Without a graph query, the probe would not have a deterministic, intent-aligned target set for analytics, and the same probe definition could not be reliably reused across fabrics or blueprints.

You are creating a template using Juniper Apstra. In this scenario, what is a rack-based design compared to a pod-based design?

Options:

A.

A rack-based design allows the operator to select a specified number of downlinked servers, whereas a pod-based design only allows the operator to select fixed “pods” of servers.

B.

A rack-based design refers to a three-stage Clos, and a pod design refers to a five-stage Clos.

C.

A rack-based design is suitable for physical servers, whereas a pod-based design is used for Kubernetes deployments.

D.

A rack-based design connects local servers only, whereas a pod-based design can include virtual workloads in a public cloud.

Answer
B
Explanation

In Apstra 5.1, templates are used to describe the intended structure of a data center fabric. A rack-based template is used to build the common 3-stage Clos model (spines connected to racks containing leaf/top-of-rack switches and endpoints). In this design, you define the spine logical devices, select one or more rack types, specify rack counts, and define the intended connectivity between spines and racks. This directly models a leaf-spine IP fabric typically used for EVPN-VXLAN in modern data centers.

A pod-based template, by contrast, is explicitly used to build 5-stage Clos networks. In Apstra’s terminology, a pod-based template is essentially a “template of templates”: it combines one or more rack-based templates (each representing a 3-stage pod) and adds an additional superspine layer to interconnect those pods into a larger, scalable fabric. This is the architectural distinction: rack-based describes the leaf-spine pod, while pod-based describes the multi-pod superspine architecture.

For Junos v24.4 EVPN-VXLAN deployments, the difference matters operationally because 5-stage fabrics introduce additional tiers and scaling considerations (for example, superspine connectivity and expanded ECMP domains). Apstra’s template hierarchy ensures consistent intent modeling across both 3-stage and 5-stage topologies without requiring operators to manually redesign the fabric logic each time they scale out.

Verified Juniper sources (URLs):

    https://www.juniper.net/documentation/us/en/software/apstra5.1/apstra-user-guide/topics/concept/templates.html

    https://www.juniper.net/documentation/us/en/software/apstra5.1/apstra-user-guide/topics/task/template-create-pod-based.html

    https://www.juniper.net/documentation/us/en/software/apstra5.1/apstra-user-guide/topics/topic-map/5-stage-clos.html

You are trying to deploy a five-stage template to a blueprint as shown in the exhibit. You cannot see your template name in the list of available templates.

Question # 3

In this scenario, which statement is correct?

Options:

A.

The Collapsed option should be selected.

B.

You must include “five-stage” in the template name for it to appear in the list.

C.

The Pod Based option should be selected.

D.

Only Freeform-type blueprints support five-stage templates.

Answer
C
Explanation

In Apstra 5.1, templates are organized by template type, and the Create Blueprint screen can filter the template list by those types. A five-stage Clos design in Apstra is represented as a pod-based template (multi-pod fabric with an additional tier such as super-spines to interconnect pods). Because of that, a five-stage template will only appear in the template selector when the Pod Based filter is chosen. If the filter is set to Rack Based or Collapsed, Apstra hides pod-based templates because those types correspond to different topology classes: rack-based aligns with a three-stage leaf–spine pod, while collapsed aligns with a spine-less topology pattern.

This behavior is by design to prevent selecting an incompatible template for the intended topology. The template name itself does not need to contain “five-stage”; Apstra determines its type from how the template was created and stored in the catalog. Also, five-stage templates are not limited to Freeform blueprints—five-stage is a data center fabric topology choice, and it is supported within the data center reference design workflows when the appropriate template type is selected.

So, to make the five-stage template visible and selectable, choose Pod Based in the template filter.

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Juniper JN0-481 FAQ'S

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