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Google Associate-Cloud-Engineer Exam Questions

Google Associate-Cloud-Engineer Exam Questions Answers

Google Cloud Certified - Associate Cloud Engineer

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Google Associate-Cloud-Engineer Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF

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Google Associate-Cloud-Engineer Sample Questions – Free Practice Test & Real Exam Prep

Question #1

You are planning to migrate your on-premises data to Google Cloud. The data includes: • 200 TB of video files in SAN storage • Data warehouse data stored on Amazon Redshift • 20 GB of PNG files stored on an S3 bucket You need to load the video files into a Cloud Storage bucket, transfer the data warehouse data into BigQuery, and load the PNG files into a second Cloud Storage bucket. You want to follow Google-recommended practices and avoid writing any code for the migration. What should you do?

  • A. Use gcloud storage for the video files. Dataflow for the data warehouse data, and Storage Transfer Service for the PNG files. 
  • B. Use Transfer Appliance for the videos. BigQuery Data Transfer Service for the data warehouse data, and Storage Transfer Service for the PNG files. 
  • C. Use Storage Transfer Service for the video files, BigQuery Data Transfer Service for the data warehouse data, and Storage Transfer Service for the PNG files. 
  • D. Use Cloud Data Fusion for the video files, Dataflow for the data warehouse data, and Storage Transfer Service for the PNG files. 
Answer: C
Question #2

Your company is moving its continuous integration and delivery (CI/CD) pipeline to Compute Engine instances. The pipeline will manage the entire cloud infrastructure through code. How can you ensure that the pipeline has appropriate permissions while your system is following security best practices?

  • A. • Add a step for human approval to the CI/CD pipeline before the execution of the infrastructureprovisioning.• Use the human approvals IAM account for the provisioning. 
  • B. • Attach a single service account to the compute instances.• Add minimal rights to the service account.• Allow the service account to impersonate a Cloud Identity user with elevated permissions to create, update, or delete resources. 
  • C. • Attach a single service account to the compute instances.• Add all required Identity and Access Management (IAM) permissions to this service account to create, update, or delete resources 
  • D. • Create multiple service accounts, one for each pipeline with the appropriate minimal Identity andAccess Management (IAM) permissions.• Use a secret manager service to store the key files of the service accounts.• Allow the CI/CD pipeline to request the appropriate secrets during the execution of the pipeline. 
Answer: B
Question #3

You are deploying an application to Google Kubernetes Engine (GKE) that needs to call an external third-party API. You need to provide the external API vendor with a list of IP addresses for their firewall to allow traffic from your application. You want to follow Google recommended practices and avoid any risk of interrupting traffic to the API due to IP address changes. What should you do?

  • A. Configure your GKE cluster with one node, and set the node to have a static external IP address. Ensure that the GKE cluster autoscaler is off. Send the external IP address of the node to the vendor to be added to the allowlist. 
  • B. Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with static IP addresses. Provide these IP addresses to the vendor to be added to the allowlist. 
  • C. Configure your GKE cluster with public nodes. Write a Cloud Function that pulls the public IP addresses of each node in the cluster. Trigger the function to run every day with Cloud Scheduler. Send the list to the vendor by email every day. 
  • D. Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with dynamic IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.
Answer: B
Question #4

A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

  • A. Google Compute Engine 
  • B. Google App Engine
  • C. Cloud Functions
  • D. Google Kubernetes Engine 
Answer: C
Question #5

You need to select and configure compute resources for a set of batch processing jobs. These jobs take around 2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

  • A. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type. 
  • B. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types. 
  • C. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type. 
  • D. Select Compute Engine. Use VM instance types that support micro bursting. 
Answer: C
Question #6

You have an instance group that you want to load balance. You want the load balancer to terminate the client SSL session. The instance group is used to serve a public web application over HTTPS. You want to follow Google-recommended practices. What should you do?

  • A. Configure an HTTP(S) load balancer. 
  • B. Configure an internal TCP load balancer. 
  • C. Configure an external SSL proxy load balancer. 
  • D. Configure an external TCP proxy load balancer. 
Answer: A
Question #7

(You are developing an internet of things (IoT) application that captures sensor data from multiple devices that have already been set up. You need to identify the global data storage product your company should use to store this data. You must ensure that the storage solution you choose meets your requirements of sub-millisecond latency. What should you do?)

  • A. Store the IoT data in Spanner. Use caches to speed up the process and avoid latencies. 
  • B. Store the IoT data in Bigtable. 
  • C. Capture IoT data in BigQuery datasets. 
  • D. Store the IoT data in Cloud Storage. Implement caching by using Cloud CDN.
Answer: B
Question #8

Your company's machine learning team requires a scalable and flexible platform to finetune large language models utilizing a large volume of proprietary data on Google Cloud. You are tasked with building a solution for this team. What should you do?

  • A. Use Dataflow as a platform to run the fine-tuning jobs.
  • B. Use a Compute Engine managed instance group as a platform to deploy Jupyter Notebooks and run fine-tuning jobs.
  • C. Use Google Kubernetes Engine (GKE) and hardware accelerators as a platform to run the fine-tuning jobs.
  • D. Use Cloud Run and GPU as a platform to run the fine-tuning jobs. 
Answer: C
Question #9

You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

  • A. Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to the role. 
  • B. Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to a new group. Add the group to the role. 
  • C. Run gcloud iam roles describe roles/spanner.viewer --project my-project. Add the users to the role. 
  • D. Run gcloud iam roles describe roles/spanner.viewer --project my-project. Add the users to a new group. Add the group to the role. 
Answer: B
Question #10

You have an on-premises data analytics set of binaries that processes data files in memory for about 45 minutes every midnight. The sizes of those data files range from 1 gigabyte to 16 gigabytes. You want to migrate this application to Google Cloud with minimal effort and cost. What should you do?

  • A. Upload the code to Cloud Functions. Use Cloud Scheduler to start the application. 
  • B. Create a container for the set of binaries. Use Cloud Scheduler to start a Cloud Run job for the container. 
  • C. Create a container for the set of binaries Deploy the container to Google Kubernetes Engine (GKE) and use the Kubernetes scheduler to start the application. 
  • D. Lift and shift to a VM on Compute Engine. Use an instance schedule to start and stop the instance. 
Answer: B
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