UiPath-IEPASv1 Übungsmaterialien - UiPath-IEPASv1 Lernressourcen & UiPath-IEPASv1 Prüfungsfragen

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UiPath UiPath-IEPASv1 Exam Syllabus Topics:

SectionObjectives
Topic 1: Infrastructure Requirements and Installation- Installation and Post-Installation Operations
  • 1. Product, node, and storage management
    • 2. Single-node and multi-node installation
      • 3. Certificates, Active Directory, and kubectl configuration
        - Hardware and Software Requirements
        • 1. Linux packages, SQL Server, and NFS storage
          • 2. Resource sizing and product-specific requirements
            • 3. Network and installation prerequisites
              Topic 2: Upgrade, Backup, and Restore- Backup and Restore
              • 1. Automation Suite cluster backup and restoration
                • 2. Backup and recovery prerequisites
                  - Upgrade Management
                  • 1. Side-by-side upgrades
                    • 2. Upgrade preparation and execution
                      • 3. In-place upgrades
                        Topic 3: Architecture and Deployment- Deployment Options and Methods
                        • 1. Single-node and multi-node deployments
                          • 2. Linux, cloud templates, and EKS/AKS deployment
                            • 3. High availability and disaster recovery
                              • 4. Online and offline deployment modes
                                - Automation Suite Architecture
                                • 1. Core architecture and components
                                  • 2. Infrastructure architecture and cluster design
                                    Topic 4: Monitoring, Troubleshooting, and Migration- Migration
                                    • 1. Migrating standalone UiPath products to Automation Suite
                                      • 2. Migration scenarios and available migration options
                                        - Monitoring and Troubleshooting
                                        • 1. Troubleshooting common infrastructure issues
                                          • 2. Monitoring, logging, and diagnostic tools

                                            >> UiPath-IEPASv1 Ausbildungsressourcen <<

                                            UiPath-IEPASv1 Studienmaterialien: UiPath Infrastructure Engineer Professional - Automation Suite Exam - UiPath-IEPASv1 Torrent Prüfung & UiPath-IEPASv1 wirkliche Prüfung

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                                            UiPath Infrastructure Engineer Professional - Automation Suite Exam UiPath-IEPASv1 Prüfungsfragen mit Lösungen (Q32-Q37):

                                            32. Frage
                                            Which types of nodes are supported in an Automation Suite deployment?

                                            Antwort: D

                                            Begründung:
                                            UiPath Automation Suite architecture formally classifies nodes within the underlying Kubernetes cluster into three distinct operational profiles: Server nodes, Agent nodes, and Specialized agent nodes. Server nodes host the Kubernetes control plane services (such as etcd, the kube-apiserver, and the scheduler) and orchestrate state management and request distribution. Agent nodes (general worker nodes) run standard UiPath product microservices-including Orchestrator, Identity Server, and Data Service-alongside core platform-shared services like RabbitMQ and Redis. Specialized agent nodes are dedicated worker nodes tailored with specific hardware acceleration or isolated resource profiles, such as GPU-enabled nodes dedicated to high-throughput Document Understanding and Computer Vision model pipelines, or nodes isolated via taints and tolerations to host Automation Suite Robots and Task Mining analysis engines. Categorizing workers into standard and specialized agent nodes prevents resource starvation across foundational business workflows. (Reference:
                                            UiPath Automation Suite Architecture Overview - Node Roles and Workload Scheduling).


                                            33. Frage
                                            Which of the following statements is true when Document Understanding is enabled in an offline installation?

                                            Antwort: D

                                            Begründung:
                                            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).


                                            34. Frage
                                            Is deploying UiPath Automation Suite on AMD processors supported?

                                            Antwort: D

                                            Begründung:
                                            UiPath Automation Suite supports deployments running on standard x86-64 (AMD64) system architecture, which encompasses both AMD and Intel 64-bit processors. The platform binaries and underpinning Kubernetes distributions (such as RKE2, AKS, EKS, and Red Hat OpenShift) natively compile against x86_64 instruction sets. Therefore, bare-metal hardware and virtualized instances provisioned on AMD EPYC or Intel Xeon processors are fully supported, provided they fulfill the required minimum CPU core counts, frequency, and virtualization flags (such as AVX extensions where demanded by specific AI/ML models).
                                            ARM-based architectures, including AWS Graviton or Ampere processors, remain strictly unsupported for cluster nodes due to container image layer incompatibilities within the platform services. System engineers must ensure that underlying hypervisors or bare-metal operating systems supply the mandatory compute primitives without introducing unsupported microcode or non-standard instruction sets. In high-availability multi-node deployments, it is recommended to maintain homogeneous processor architectures across all control-plane server nodes to avoid timing discrepancies in distributed workloads. (Reference: UiPath Automation Suite Hardware and Software Requirements - Processor Architecture Guidelines).


                                            35. Frage
                                            After restoring from a snapshot, what steps must be completed to restore the data and settings for a cluster without AI Center enabled?

                                            Antwort: B

                                            Begründung:
                                            When executing a full platform restore from an infrastructure snapshot on a cluster where AI Center is not enabled, administrators must complete specific post-restoration procedures to re-establish platform integrity.
                                            The documented workflow comprises three mandatory operational steps: recovering the `cluster_config.json` configuration file, re-adding internal Certificate Authority (CA) certificates to the host operating system trust stores across all restored virtual machines, and retrieving the regenerated monitoring stack password for Prometheus and Grafana access. Recovering `cluster_config.json` restores cluster metadata and operational flags, while re-importing the CA certificates into the operating system certificate store prevents SSL/TLS handshake failures during intra-cluster and container communication. Because Dex credentials rotate or reset during snapshot restores, retrieving the new monitoring password restores administrative visibility into system metrics. Clusters with AI Center enabled require an additional specialized pipeline restoration step.
                                            (Reference: UiPath Automation Suite Backup and Restore Guide - Post-Restoration Configuration).


                                            36. Frage
                                            Which syntax correctly enables snapshot backup every 55 minutes?

                                            Antwort: B

                                            Begründung:
                                            The Automation Suite command-line maintenance utility `./configureUiPathAS.sh snapshot config` configures scheduled cluster snapshots. In the CLI syntax, the `-s` flag accepts a standard cron expression string defining the execution schedule, while the `-r` flag designates the retention policy in hours. The cron expression `*/55 * * * *` (presented in the question's shortened string format as `"/55***"`) specifies an automated recurring backup cadence of every 55 minutes. Furthermore, UiPath snapshot configuration requires the retention period (`-r`) to be specified in integer hourly increments, making `"50h"` (50 hours of retained snapshot backups) a syntactically valid argument, whereas minute-based units (`"50m"` or `"55m"`) are invalid. The `-t nfs` flag defines the target storage type, `-e` enables the recurring schedule, and `-l` points to the designated backup mount directory. (Reference: UiPath Automation Suite Backup and Disaster Recovery - Snapshot Scheduling Configuration).


                                            37. Frage
                                            ......

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