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| Section | Objectives |
|---|---|
| Monitoring, Troubleshooting, and Migration | - Monitoring and Troubleshooting
|
| Architecture and Deployment | - Automation Suite Architecture
|
| Infrastructure Requirements and Installation | - Hardware and Software Requirements
|
| Upgrade, Backup, and Restore | - Upgrade Management
|
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NEW QUESTION # 66
What root-volume capacity is required for both EKS and AKS agent (worker) nodes?
Answer: A
Explanation:
When preparing worker agent node pools on managed public cloud Kubernetes engines-specifically Amazon Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS)-UiPath specifies an OS root-volume capacity of at least 256 GB. In managed Kubernetes environments, container base images, ephemeral emptyDir volumes, runtime log buffers, and local Docker/containerd build caches are placed directly on the root volume filesystem. Given the large footprints of UiPath microservices, Machine Learning container layers, and platform monitoring daemons, standard cloud default root disks (such as 30 GB or 100 GB) risk triggering node disk pressure conditions. Disk pressure causes the kubelet to initiate eviction procedures, terminating pods and degrading cluster availability. Sizing agent root volumes to a minimum of
256 GB with enterprise SSD storage provides necessary operational headroom for complex workloads.
(Reference: UiPath Automation Suite on AKS/EKS - Agent Node Pool Sizing and Disk Requirements).
NEW QUESTION # 67
Which command enables the Automation Suite installer to automatically create the required SQL databases and object storage buckets for an AKS deployment?
Answer: C
Explanation:
When provisioning UiPath Automation Suite on managed Kubernetes services such as Azure Kubernetes Service (AKS), Amazon EKS, or Red Hat OpenShift, the `uipathctl` CLI toolchain provides automated prerequisite resource creation. The specific syntax used to create all required Microsoft SQL databases and external cloud object storage buckets is `uipathctl prereq create input.json --versions versions.json`. This command parses the infrastructure specifications declared in `input.json`, connects to the targeted database server instance and cloud storage endpoint using administrative credentials, and provisions each database and container bucket required for the enabled product services. In contrast, `uipathctl prereq run` is strictly a read- only validation check that validates connectivity without creating resources, while commands like `setup init` or `install --auto-create` do not exist within the CLI parser. Executing `prereq create` eliminates manual scripting errors when preparing multi-tenant external datastores. (Reference: UiPath Automation Suite on AKS
/EKS - Prerequisite Automation via uipathctl).
NEW QUESTION # 68
Which of the following actions is required when carrying out a parallel Automation Suite upgrade?
Answer: A
Explanation:
In an Automation Suite parallel (side-by-side) upgrade strategy, an entirely new target cluster is provisioned alongside the existing production environment running the legacy version. Because the target cluster starts as a fresh deployment, a mandatory action to complete the upgrade is migrating the data from the source cluster to the new target cluster. This process entails taking database backups or replicating state, transferring persistent object store contents, and migrating persistent volume data (often mediated via external object storage) to the target infrastructure. Unlike in-place upgrades that sequentially update Kubernetes binaries and Helm charts while nodes remain in maintenance mode, the parallel upgrade keeps the original cluster untouched and operational until data migration, data schema updates, and validation testing conclude successfully. Once the target cluster finishes data hydration and passes health checks, traffic cutover occurs via DNS or load balancer redirection. (Reference: UiPath Automation Suite Upgrade Guide - Parallel vs. In- Place Upgrade Methodology).
NEW QUESTION # 69
What is the default directory to which the installer should be extracted?
Answer: B
Explanation:
When staging files for deploying UiPath Automation Suite on Linux hosts, the platform documentation specifies the standard extraction filesystem hierarchy. The distribution tarball must be unpacked into `/opt
/UiPathAutomationSuite/ < version > /Installer` (or `/opt/UiPathAutomationSuite/ < version > /installer`). The platform's automated installation scripts, disk configuration routines, container image hydrating tools, and prerequisite validation tools assume this absolute path by default. Extracting installer packages into non- standard locations (such as `/tmp`, `/var`, or generic root subdirectories) can cause script path lookup failures, permission conflicts with SELinux contexts, or storage capacity constraints on the OS root partition. Adhering to the `/opt/UiPathAutomationSuite/ < version > /` directory structure ensures proper execution of lifecycle binaries and simplifies future in-place upgrades and rollbacks. (Reference: UiPath Automation Suite Linux Host Preparation - Staging and Extracting Installation Media).
NEW QUESTION # 70
Which of the following statements is true when Document Understanding is enabled in an offline installation?
Answer: A
Explanation:
Document Understanding workloads rely on specialized out-of-the-box Machine Learning (ML) packages and pipeline models for document classification, OCR, and data extraction. In an offline, air-gapped Automation Suite environment, cluster nodes have no outbound connectivity to dynamically pull these large assets from UiPath public registries or SaaS stores. Because standard offline installer packages exclude these heavy ML binaries to maintain manageable package sizes, the ML bundle must be obtained separately via an internet- connected workstation. It must then be transferred to one of the cluster's server nodes (the primary installation host) and hydrated into the internal/private registry using the deployment scripts. Failing to download, transfer, and push the ML package bundle prevents Document Understanding models from initializing and executing inference pipelines within the cluster. (Reference: UiPath Automation Suite Offline Deployment Guide - Document Understanding and ML Bundle Provisioning).
NEW QUESTION # 71
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