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| Section | Objectives |
|---|---|
| Topic 1: Architecture | - Describe the architecture of Automation Suite |
| Topic 2: Installation | - Install Automation Suite on multi-node deployments - Post-installation operations
|
| Topic 3: Deployment Methods | - Multi-node deployment architecture - Single-node deployment architecture - Disaster recovery architecture
|
| Topic 4: Monitoring and Troubleshooting | - Automation Suite monitoring and logging tools - Troubleshoot common issues |
| Topic 5: Upgrade | - Prepare the environment and perform a side-by-side upgrade - Explain available upgrade types
|
| Topic 6: Deployment Options | - Deploy Automation Suite using AWS, Azure, and GCP templates - Deploy Automation Suite on EKS and AKS - Deploy Automation Suite on Linux |
| Topic 7: Backup and Restore | - Restore Automation Suite clusters - Back up Automation Suite clusters - Analyze backup and restore requirements |
| Topic 8: Migration | - Migration scenarios - Available migration options |
| Topic 9: Requirements | - Configure prerequisites for single-node and multi-node installations - Software requirements
|
| Topic 10: Deployment Modes | - Online deployment - Offline deployment |
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NEW QUESTION # 64
For an HA deployment spanning three availability zones, how many load balancers are needed to ensure high availability?
Answer: D
Explanation:
In modern enterprise public cloud architectures (such as Microsoft Azure or AWS), a single zone-redundant load balancer (e.g., Azure Standard Load Balancer or AWS Network Load Balancer) provides high availability across three availability zones. The frontend IP and data path of a zone-redundant load balancer are intrinsically distributed and backed by independent infrastructure replicated across all availability zones within the target region. If an entire availability zone suffers a physical facility or power outage, the load balancer continues operating seamlessly through the surviving zones, health-checking backend pools and dynamically redirecting incoming traffic to healthy cluster nodes situated in the remaining two zones.
Deploying multiple separate regional load balancers is redundant within a single-region multi-zone topology and unnecessarily complicates DNS and SSL certificate management. UiPath documentation confirms that only one zone-redundant load balancer is required to achieve fault tolerance across multi-zone Automation Suite clusters. (Reference: UiPath Automation Suite Infrastructure Sizing - Cloud Load Balancer and Multi- Zone Architecture).
NEW QUESTION # 65
In what situations does an upgrade to a new Automation Suite version require a conditional license?
Answer: A
Explanation:
During the lifecycle upgrade of an offline (air-gapped) Automation Suite deployment that does not utilize a persistent external OCI container registry, the upgrade process relies on an ephemeral, temporary in-cluster Docker registry to stage and distribute updated container layers and Helm charts. In this specific operational situation, the machine orchestrating the upgrade requires network access over port 30070. UiPath documents port 30070 as a conditional firewall and network prerequisite specifically tied to accessing this temporary container registry during an upgrade or installation procedure. If port 30070 is blocked by internal operating system firewalls (`firewalld`/`iptables`) or network security group policies, the installer cannot hydrate or pull target container images, halting the upgrade workflow. While standard platform ingress operates on port 443 and Kubernetes management operates on port 6443, port 30070 represents the specific conditional requirement for offline upgrade registry interaction. (Reference: UiPath Automation Suite Upgrade Guide - Network Port Requirements and Temporary Registry Configuration).
NEW QUESTION # 66
Which file system formats are supported for disks used in an Automation Suite installation?
Answer: A
Explanation:
When preparing block storage and disk partitioning for an Automation Suite installation on enterprise Linux distributions (such as RHEL or Rocky Linux), UiPath mandates formatting the underlying storage devices with either ext4 or xfs file systems. The automated storage initialization tools, including the script `.
/configureUiPathDisks.sh` and the command `./bin/uipathctl rke2 disk`, partition raw devices via Logical Volume Manager (LVM) and format mount points using xfs or ext4. These POSIX-compliant file systems supply the essential performance characteristics, file-locking semantics, atomic read/write behaviors, and extended attributes required by container runtimes (containerd), RKE2 control plane services, etcd transactional logs, and the shared local storage provisioner (Longhorn or Ceph). Alternative file systems such as Btrfs, ZFS, or non-Linux file systems like NTFS and ReFS are completely unsupported due to container overlay storage driver incompatibilities and unpredictable write amplification during database and logging operations. Proper configuration of `/etc/fstab` with either ext4 or xfs ensures volume stability across system reboots. (Reference: UiPath Automation Suite Infrastructure Pre-requisites - Disk Configuration and Filesystem Requirements).
NEW QUESTION # 67
What is required to install Computer Vision in Automation Suite?
Answer: B
Explanation:
UiPath Computer Vision is a deep-learning-based capability that analyses graphical user interfaces (GUIs) across virtual desktops, Citrix, and remote terminal sessions where standard UI element selectors are unavailable. Because the underlying neural network models demand high parallel-compute processing throughput to execute real-time image segmentation and OCR inference, installing Computer Vision within Automation Suite requires a dedicated agent node provisioned with specialized GPU support. UiPath requires NVIDIA GPUs (such as Tesla T4, A10, or newer enterprise Ampere architectures) equipped with the official NVIDIA container toolkit and drivers installed at the host operating system level. To prevent standard product pods or control-plane services from exhausting GPU memory, this node is tainted so that only Computer Vision and specialized AI workloads tolerate and schedule onto it. Attempting to run Computer Vision purely on generic CPU-bound agent nodes is unsupported due to severe inference latency and pod scheduling constraints. (Reference: UiPath Automation Suite Sizing and Hardware Requirements - Specialized GPU Nodes).
NEW QUESTION # 68
Which delivery option provides the components of the UiPath Platform as Software-as-a-Service?
Answer: C
Explanation:
UiPath offers multiple delivery models for its enterprise automation platform. UiPath Automation Cloud represents the Software-as-a-Service (SaaS) delivery model, where the underlying infrastructure, Kubernetes runtime, databases, networking, security patching, and platform updates are fully hosted and managed by UiPath. In contrast, UiPath Automation Suite is the customer-managed deployment model, packaged as a containerized solution deployed on self-hosted Linux servers or customer-managed cloud Kubernetes services (AKS, EKS, OpenShift). Orchestrator and Automation Hub are individual application services delivered within either model, rather than delivery platforms themselves. Organizations choosing Automation Cloud eliminate infrastructure management overhead, while those selecting Automation Suite retain operational control over their infrastructure, data residency, and networking topologies. (Reference: UiPath Platform Delivery Models - Automation Cloud vs. Automation Suite Comparison).
NEW QUESTION # 69
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