Last updated on May 12, 2026
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GIF also we are using ? No, GIF is not supported for Form Recognizer input. The allowed formats are JPG, PNG, PDF (text or scanned), or TIFF. If you have GIFs, convert them to one of the supported formats (e.g., convert to JPG/PNG or PDF) before training or uploading. Also ensure each file is under 50 MB and, when possible, use text-embedded PDFs to reduce errors.
GIF also we are using ?
Question 11: Correct answers: A, C, F. Why: - Form Recognizer accepts documents in these formats: JPG, PNG, PDF (text or scanned), or TIFF. (TIFF is sometimes used in archival/scanned docs.) - Text-embedded PDFs are preferred because they minimize character extraction and location errors. - Training data must be under 50 MB per file. So A, C, and F are the three files that meet these input requirements; the other options (B, D, E) likely fail one of the criteria (wrong format or too large). If you want, describe the formats of A, C, and F to confirm they meet all three criteria.
Question 11:
Question 10:The correct answer is B: A new query key was generated. Explanation: The REST call to: POST .../regenerateKey?api-version=2017-04-18 with body {"keyName": "Key2"} regenerates the specified account key. Since you specified Key2, only the secondary key is regenerated; the primary key (Key1) remains unchanged. This operation updates the Cognitive Services account keys within Azure, not anything in Azure Key Vault. “Query key” refers to the key used to authorize API requests to the service (subscription key), so regenerating Key2 yields a new value for that key.
Question 10:The correct answer is B: A new query key was generated. Explanation:
Why pull first, its create is first is itYes. The sequence is correct because you need a base image first. Step 1: Pull the base container image (Anomaly Detector) to have a starting point. Step 2: Create a Dockerfile to capture the exact changes you want (reproducible build). Step 3: Build and push the customized image to Azure Container Registry (ACR). Step 4: Distribute a docker run script to deploy the container on devices. Why not start with the Dockerfile? You need the base image to reference in the FROM line, and you can only push a built image to ACR, not an unbuilt modification.
Why pull first, its create is first is itYes. The sequence is correct because you need a base image first.
Anomaly Detector
Dockerfile
docker run
FROM
Question 5: In Azure Resource Manager (ARM) REST APIs, creating or updating a resource is done with a PUT request to the resource’s exact URL (idempotent operation). This means you can repeatedly call the same PUT and it will create the resource if it doesn’t exist or update it if it does. POST is used to create resources under a collection (without a predefined name), which would generate a new resource id each time and is not suitable when you need a single, known resource name and a single endpoint/key to consolidate billing and access. For Question 5, you’re creating a new resource at a specific path (with a known resource name) to provide a single key/endpoint for multiple services. Therefore, PUT is the correct method. If you’d like, I can outline the exact REST call structure (URL, headers, and body) for creating the Cognitive Services/related resource using PUT.
Question 5:
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Question 62: Correct answer: D. Implement Jenkins on Compute Engine virtual machines. Why this is the best choice: - Since the app runs on GCP, hosting Jenkins on Compute Engine VMs keeps the CI/CD infrastructure in the same cloud environment, simplifying access to GCP services and credentials. - It reduces operational toil compared to managing Jenkins on local workstations or on-prem Kubernetes. - Cloud Functions cannot host a full Jenkins server (they’re serverless and not suited for long-running CI/CD tasks). - Using the Google Compute Engine plugin (google-compute-engine) lets Jenkins provision and manage GCE resources for build agents, enabling scalable, cloud-native pipelines. How this supports security and streamline releases: - Use GCP IAM/service accounts for least-privilege access, encrypt artifacts at rest, and place Jenkins behind private networking or IAP/VPN as needed. - Centralize credentials and secrets in Jenkins’ credentials store or Cloud KMS-backed solutions. - Automate deployments to GCP resources (App Engine, GKE, Cloud Run, Compute) via pipelines. Why other options are less suitable: - Local workstations: not scalable or secure for team CI/CD. - On-prem Kubernetes: adds management burden and detaches from GCP as the hosting environment. - Cloud Functions: not appropriate for a persistent Jenkins server.
Question 62:
Establish if the solution satisfies the requirements. Your company has a Microsoft SQL Server Always On availability group configured on their Azure virtual machines (VMs). You need to configure an Azure internal load balancer as a listener for the availability group. Solution: You enable Floating IP. Does the solution meet the goal? Yes. Explanation: When using an Azure internal load balancer as a listener for a SQL Server Always On availability group, you must enable the Floating IP feature. This allows the internal listener IP to float to the active primary replica, ensuring the listener remains reachable and client connections are redirected correctly after failover. The Floating IP setting is required for stable listener behavior in AG configurations.
Establish if the solution satisfies the requirements. Your company has a Microsoft SQL Server Always On availability group configured on their Azure virtual machines (VMs). You need to configure an Azure internal load balancer as a listener for the availability group. Solution: You enable Floating IP. Does the solution meet the goal?
Question 10: Answer: Yes Why: The Windows 10 P2S VPN client must include the correct route(s) to reach VNetB via the VPN gateway in VirtualNetworkA. When you peered VirtualNetworkA with VirtualNetworkB, the address space reachable through the gateway changed, but the existing P2S client package may not contain the updated routes. By re-downloading and reinstalling the VPN client configuration, you install an updated client package that includes the route to VirtualNetworkB, allowing the workstation to connect to VNetB through the gateway. This is the documented approach after changing VNets or peering that affects address spaces.
Question 10:
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