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Google Associate Cloud Engineer Exam Questions

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Description

Exam Name: Google Associate Cloud Engineer
Exam Code: Associate Cloud Engineer
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Number of Associate Cloud Engineer practice questions in our database: 290 (updated: Jan. 16, 2025)
Expected Associate Cloud Engineer Exam Topics, as suggested by Google :

  • Module 1: Setting up a cloud solution environment: This topic discusses setting up cloud projects and accounts. It also discusses management of billing configuration. Moreover, the questions about installing and configuring the command line interface (CLI) also appear.
  • Module 2: Planning and configuring a cloud solution: The topic is all about planning Google Cloud product use, compute resources, data storage options, and network resources.
  • Module 3: Deploying and implementing a cloud solution: In this topic questions about Compute Engine resources, Google Kubernetes Engine resources, Cloud Run and Cloud Functions resources. It also delves into data solutions, networking resources, Cloud Marketplace, and implementing resources via infrastructure as code.
  • Module 4: Ensuring successful operation of a cloud solution: Questions about monitoring and logging appear. It also focuses on networking resources, storage and database solutions, Cloud Run resources, and managing Google Kubernetes Engine resources.
  • Module 5: Configuring access and security: Identity and Access Management (IAM), service accounts, and audit logs are focal points of this topic.

Description

Exam Name: Google Associate Cloud Engineer
Exam Code: Associate Cloud Engineer
Related Certification(s): Google Cloud Certified Certification
Certification Provider: Google
Number of Associate Cloud Engineer practice questions in our database: 290 (updated: Jan. 16, 2025)
Expected Associate Cloud Engineer Exam Topics, as suggested by Google :

  • Module 1: Setting up a cloud solution environment: This topic discusses setting up cloud projects and accounts. It also discusses management of billing configuration. Moreover, the questions about installing and configuring the command line interface (CLI) also appear.
  • Module 2: Planning and configuring a cloud solution: The topic is all about planning Google Cloud product use, compute resources, data storage options, and network resources.
  • Module 3: Deploying and implementing a cloud solution: In this topic questions about Compute Engine resources, Google Kubernetes Engine resources, Cloud Run and Cloud Functions resources. It also delves into data solutions, networking resources, Cloud Marketplace, and implementing resources via infrastructure as code.
  • Module 4: Ensuring successful operation of a cloud solution: Questions about monitoring and logging appear. It also focuses on networking resources, storage and database solutions, Cloud Run resources, and managing Google Kubernetes Engine resources.
  • Module 5: Configuring access and security: Identity and Access Management (IAM), service accounts, and audit logs are focal points of this topic.

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Q1. You use Cloud Logging lo capture application logs. You now need to use SOL to analyze the application logs in Cloud Logging, and you want to follow Google-recommended practices. What should you do?

A.Develop SQL queries by using Gemini for Google Cloud.

B. Enable Log Analytics for the log bucket and create a linked dataset in BigQuery.

C. Create a schema for the storage bucket and run SQL queries for the data in the bucket.

D. Export logs to a storage bucket and create an external view in BigQuery.

Correct Answer: B

Q2. Your company is running a three-tier web application on virtual machines that use a MySQL database. You need to create an estimated total cost of cloud infrastructure to run this application on Google Cloud instances and Cloud SQL. What should you do?

A.Use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use. Use similar size instances for the web server, and use your current on-premises machines as a comparison for Cloud SQL.

B. Implement a similar architecture on Google Cloud, and run a reasonable load test on a smaller scale. Check the billing information, and calculate the estimated costs based on the real load your system usually handles.

C. Use the Google Cloud Pricing Calculator and select the Cloud Operations template to define your web application with as much detail as possible.

D. Create a Google spreadsheet with multiple Google Cloud resource combinations. On a separate sheet, import the current Google Cloud prices and use these prices for the calculations within formulas.

Correct Answer: C

Q3. Your manager asks you to deploy a workload to a Kubernetes cluster. You are not sure of the workloads resource requirements or how the requirements might vary depending on usage patterns, external dependencies, or other factors. You need a solution that makes cost-effective recommendations regarding CPU and memory requirements, and allows the workload to function consistently in any situation. You want to follow Google-recommended practices. What should you do?

A.Configure the Horizontal Pod Autoscaler for availability, and configure the cluster autoscaler for suggestions.

B. Configure the Horizontal Pod Autoscaler for availability, and configure the Vertical Pod Autoscaler recommendations for suggestions.

C. Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Cluster autoscaler for suggestions.

D. Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Horizontal Pod Autoscaler for suggestions.

Correct Answer: D

Q4. You need to extract text from audio files by using the Speech-to-Text API. The audio files are pushed to a Cloud Storage bucket. You need to implement a fully managed, serverless compute solution that requires authentication and aligns with Google-recommended practices. You want to automate the call to the API by submitting each file to the API as the audio file arrives in the bucket. What should you do?

A.Run a Kubernetes job to scan the bucket regularly for incoming files, and call the Speech-to-Text API for each unprocessed file.

B. Create an App Engine standard environment triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.

C. Run a Python script by using a Linux cron job in Compute Engine to scan the bucket regularly for incoming files, and call the Speech-to-Text API for each unprocessed file.

D. Create a Cloud Function triggered by Cloud Storage bucket events to submit the file URI to the Google Speech-to-Text API.

Correct Answer: B

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