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| Section | Weight | Objectives |
|---|---|---|
| Intent-Based Analytics | 10% | - Analytics features
|
| Juniper Apstra Architecture | 15% | - Core components
|
| Data Center Architectures | 20% | - EVPN-VXLAN
|
| Apstra Build and Deploy Phases | 15% | - Fabric deployment
|
| Data Center Multitenancy | 10% | - Multitenant design
|
| Apstra Design Phase | 15% | - Design elements
|
| Blueprint Operations | 15% | - Day-to-day management
|
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NEW QUESTION # 56
Off-box agents are consuming too much CPU and memory on your Juniper Apstra controller. In this scenario, how would you solve this problem?
Answer: C
Explanation:
In Apstra 5.1, off-box agents and analytics services are delivered as containerized workloads that consume CPU and memory within the Apstra cluster. When these workloads are concentrated on the controller node, the controller can become resource-constrained, impacting overall responsiveness and scaling limits. The supported architectural solution is to add a worker node (worker VM) and allow Apstra to place offbox (and, if applicable, iba) containers on that worker. This increases cluster capacity and shifts runtime load away from the controller, which should remain focused on core control-plane and management functions.
Juniper's sizing guidance also treats worker nodes as the scalable unit for off-box agent growth: each VM node (controller or worker) supports a bounded number of off-box agents, and when one VM is insufficient, the prescribed approach is to increase capacity by adding worker nodes to the Apstra VM cluster. This method scales horizontally and avoids overloading the controller with operational containers.
While increasing CPU/memory on the controller might help temporarily, the documented design pattern for sustained growth is to distribute the off-box workloads across worker nodes. Switching to on-box agents is a different operational model and not the direct remediation for controller resource pressure in an off-box deployment.
Verified Juniper sources (URLs):
https://www.juniper.net/documentation/us/en/software/apstra5.1/apstra-install-upgrade/topics/ref/apstra-server-resources.html
https://www.juniper.net/documentation/us/en/software/apstra5.0/apstra-user-guide/topics/topic-map/apstra-cluster-nodes.html
https://www.juniper.net/documentation/us/en/software/apstra4.2/apstra-user-guide/topics/topic-map/apstra-cluster-nodes.html
NEW QUESTION # 57
Which element of an intent-based analytics (IBA) probe is used to specify the database objects to which the probe will apply?
Answer: A
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.
NEW QUESTION # 58
Which two actions are required during Juniper Apstra's deploy phase? (Choose two.)
Answer: A,B
Explanation:
The deploy phase is the final step in the Juniper Apstra data center fabric design and deployment process. In this phase, you apply the Apstra-rendered configuration to the devices and verify the intent of the blueprint. Based on the web search results, we can infer the following actions are required during the deploy phase12:
Assign device profiles to the blueprint. This action associates a specific vendor model to each logical device in the blueprint. Device profiles contain extensive hardware model details, such as form factor, ASIC, CPU, RAM, ECMP limit, and supported features. Device profiles also define how configuration is generated, how telemetry commands are rendered, and how configuration is deployed on a device. Device profiles enable the Apstra system to render and deploy the configuration according to the Apstra Reference Design34.
Assign resources to the blueprint. This action allocates the physical devices, IP addresses, VLANs, and ASNs to the logical devices, networks, and routing zones in the blueprint. Resources can be assigned manually or automatically by the Apstra system. Assigning resources ensures that the blueprint has all the necessary elements to generate the configuration and deploy the fabric5 .
Assign user roles to the blueprint. This action is not required during the deploy phase. User roles are defined at the system level, not at the blueprint level. User roles determine the permissions and access levels of different users in the Apstra system. User roles can be system-defined or custom-defined .
Assign interface maps to the blueprint. This action is not required during the deploy phase. Interface maps are defined at the design phase, not at the deploy phase. Interface maps are objects that map the logical interfaces of a logical device to the physical interfaces of a device profile. Interface maps enable the Apstra system to generate the correct interface configuration for each device in the fabric . Reference:
Deploy
Deploy Device
Device Profiles
Juniper Device Profiles
Resources
NEW QUESTION # 59
Referring to the exhibit, which statement is correct?
Answer: B
Explanation:
A connectivity template is a set of configuration parameters that can be applied to a device or a group of devices in a blueprint. A blueprint is a logical representation of the network design and intent. A primitive is a basic unit of configuration that can be added to a connectivity template. A primitive can be a link, a peering, a policy, or a service. In the exhibit, the red-striped primitives indicate that further configuration is required for them to be compatible with the connectivity template design. The red stripes mean that the primitive is incomplete or invalid, and it needs to be edited or deleted. For example, the IP Link primitive needs to have the interface name and IP address specified for each end of the link.
NEW QUESTION # 60
You want to apply a configlet to a specific device using Juniper Apstra. Which two parameters would be used to accomplish this task? (Choose two.)
Answer: B,D
Explanation:
To apply a configlet to a specific device using Juniper Apstra, you need to specify the device's hostname and tags. The hostname is the unique identifier of the device in the Apstra system, and the tags are the labels that you can assign to the device to group it with other devices that share the same characteristics. You can use the hostname and tags to filter the devices that you want to apply the configlet to in the blueprint catalog.
NEW QUESTION # 61
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