Latest PDF of Google-ACE: Google Associate Cloud Engineer

Google Associate Cloud Engineer - 2024 Practice Test

Google-ACE Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Length: Two hours
Languages: English, Japanese, Spanish, Indonesian.
Exam format: Multiple choice and multiple select, taken in person at a test center. Locate a test center near you.
Prerequisites: None
Recommended experience: 6 months+ hands-on experience with Google Cloud

An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. This individual is able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.

The Associate Cloud Engineer exam assesses your ability to:

Set up a cloud solution environment
Plan and configure a cloud solution
Deploy and implement a cloud solution
Ensure successful operation of a cloud solution
Configure access and security

Setting up a cloud solution environment
Setting up cloud projects and accounts. Activities include:

Creating projects
Assigning users to predefined IAM roles within a project
Managing users in Cloud Identity (manually and automated)
Enabling APIs within projects
Provisioning one or more Stackdriver workspaces

Managing billing configuration. Activities include:

Creating one or more billing accounts
Linking projects to a billing account
Establishing billing budgets and alerts
Setting up billing exports to estimate daily/monthly charges

Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project).

Planning and configuring a cloud solution
Planning and estimating GCP product use using the Pricing Calculator
Planning and configuring compute resources. Considerations include:

Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)
Using preemptible VMs and custom machine types as appropriate

Planning and configuring data storage options. Considerations include:

Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)
Choosing storage options (e.g., Standard, Nearline, Coldline, Archive)

Planning and configuring network resources. Tasks include:

Differentiating load balancing options
Identifying resource locations in a network for availability
Configuring Cloud DNS
Deploying and implementing a cloud solution
Deploying and implementing Compute Engine resources. Tasks include:

Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys)
Creating an autoscaled managed instance group using an instance template
Generating/uploading a custom SSH key for instances
Configuring a VM for Stackdriver monitoring and logging
Assessing compute quotas and requesting increases
Installing the Stackdriver Agent for monitoring and logging

Deploying and implementing Google Kubernetes Engine resources. Tasks include:

Deploying a Google Kubernetes Engine cluster
Deploying a container application to Google Kubernetes Engine using pods
Configuring Google Kubernetes Engine application monitoring and logging
Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources. Tasks include, where applicable:

Deploying an application, updating scaling configuration, versions, and traffic splitting
Deploying an application that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)

Deploying and implementing data solutions. Tasks include:

Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)
Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Cloud Pub/Sub)

Deploying and implementing networking resources. Tasks include:

Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC)
Launching a Compute Engine instance with custom network configuration (e.g., internal-only IP address, Google private access, static external and private IP address, network tags)
Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, tags, service accounts)
Creating a VPN between a Google VPC and an external network using Cloud VPN
Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, regional network load balancer, regional internal load balancer)

Deploying a solution using Cloud Marketplace. Tasks include:

Browsing Cloud Marketplace catalog and viewing solution details
Deploying a Cloud Marketplace solution
Deploying application infrastructure using Cloud Deployment Manager. Tasks include:

Developing Deployment Manager templates
Launching a Deployment Manager template

Ensuring successful operation of a cloud solution
Managing Compute Engine resources. Tasks include:

Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance)
SSH/RDP to the instance
Attaching a GPU to a new instance and installing CUDA libraries
Viewing current running VM inventory (instance IDs, details)
Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot)
Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image)
Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK)

Managing Google Kubernetes Engine resources. Tasks include:

Viewing current running cluster inventory (nodes, pods, services)
Browsing the container image repository and viewing container image details
Working with node pools (e.g., add, edit, or remove a node pool)
Working with pods (e.g., add, edit, or remove pods)
Working with services (e.g., add, edit, or remove a service)
Working with stateful applications (e.g. persistent volumes, stateful sets)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Managing App Engine and Cloud Run resources. Tasks include:

Adjusting application traffic splitting parameters
Setting scaling parameters for autoscaling instances
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Managing storage and database solutions. Tasks include:

Moving objects between Cloud Storage buckets
Converting Cloud Storage buckets between storage classes
Setting object life cycle management policies for Cloud Storage buckets
Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)
Estimating costs of a BigQuery query
Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore)
Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Managing networking resources. Tasks include:

Adding a subnet to an existing VPC
Expanding a subnet to have more IP addresses
Reserving static external or internal IP addresses
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Monitoring and logging. Tasks include:

Creating Stackdriver alerts based on resource metrics
Creating Stackdriver custom metrics
Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery)
Viewing and filtering logs in Stackdriver
Viewing specific log message details in Stackdriver
Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-in-time)
Viewing Google Cloud Platform status
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)

Configuring access and security
Managing identity and access management (IAM). Tasks include:

Viewing IAM role assignments
Assigning IAM roles to accounts or Google Groups
Defining custom IAM roles

Managing service accounts. Tasks include:

Managing service accounts with limited privileges
Assigning a service account to VM instances
Granting access to a service account in another project

Viewing audit logs for project and managed services.

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Question: 92
You significantly changed a complex Deployment Manager template and want to confirm that the dependencies of all defined resources are properly met before
committing it to the project. You want the most rapid feedback on your changes.
What should you do?
A. Use granular logging statements within a Deployment Manager template authored in Python.
B. Monitor activity of the Deployment Manager execution on the Stackdriver Logging page of the GCP Console.
C. Execute the Deployment Manager template against a separate project with the same configuration, and monitor for failures.
D. Execute the Deployment Manager template using the C-preview option in the same project, and observe the state of interdependent resources.
Answer: D
Explanation:
Reference: https://cloud.google.com/deployment-manager/docs/deployments/updating-deployments
Question: 93
Several employees at your company have been creating projects with Cloud Platform and paying for it with their personal credit cards, which the company reimburses.
The company wants to centralize all these projects under a single, new billing account.
What should you do?
A. Contact [email protected] with your bank account details and request a corporate billing account for your company.
B. Create a ticket with Google Support and wait for their call to share your credit card details over the phone.
C. In the Google Platform Console, go to the Resource Manage and move all projects to the root Organization.
D. In the Google Cloud Platform Console, create a new billing account and set up a payment method.
Answer: D
Explanation:
Reference: https://www.whizlabs.com/blog/google-cloud-interview-questions/
Question: 94
You have experimented with Google Cloud using your own credit card and expensed the costs to your company. Your company wants to streamline the billing process
and charge the costs of your projects to their monthly invoice.
What should you do?
A. Grant the financial team the IAM role of Billing Account User on the billing account linked to your credit card.
B. Set up BigQuery billing export and grant your financial department IAM access to query the data.
C. Create a ticket with Google Billing Support to ask them to send the invoice to your company.
D. Change the billing account of your projects to the billing account of your company.
Answer: D
Question: 95
You want to configure a solution for archiving data in a Cloud Storage bucket. The solution must be cost-effective. Data with multiple versions should be archived after
30 days. Previous versions are accessed once a month for reporting. This archive data is also occasionally updated at month-end.
What should you do?
A. Add a bucket lifecycle rule that archives data with newer versions after 30 days to Coldline Storage.
B. Add a bucket lifecycle rule that archives data with newer versions after 30 days to Nearline Storage.
C. Add a bucket lifecycle rule that archives data from regional storage after 30 days to Coldline Storage.
D. Add a bucket lifecycle rule that archives data from regional storage after 30 days to Nearline Storage.
Answer: B
Explanation:
Reference: https://cloud.google.com/storage/docs/managing-lifecycles
Question: 96
Several employees at your company have been creating projects with Cloud Platform and paying for it with their personal credit cards, which the company reimburses.
The company wants to centralize all these projects under a single, new billing account.
What should you do?
A. Contact [email protected] with your bank account details and request a corporate billing account for your company.
B. Create a ticket with Google Support and wait for their call to share your credit card details over the phone.
C. In the Google Platform Console, go to the Resource Manage and move all projects to the root Organization.
D. In the Google Cloud Platform Console, create a new billing account and set up a payment method.
Answer: D
Explanation:
Reference: https://www.whizlabs.com/blog/google-cloud-interview-questions/
Question: 97
You have experimented with Google Cloud using your own credit card and expensed the costs to your company. Your company wants to streamline the billing process
and charge the costs of your projects to their monthly invoice.
What should you do?
A. Grant the financial team the IAM role of Billing Account User on the billing account linked to your credit card.
B. Set up BigQuery billing export and grant your financial department IAM access to query the data.
C. Create a ticket with Google Billing Support to ask them to send the invoice to your company.
D. Change the billing account of your projects to the billing account of your company.
Answer: D
Question: 98
You have a web application deployed as a managed instance group. You have a new version of the application to gradually deploy. Your web application is currently
receiving live web traffic. You want to ensure that the available capacity does not decrease during the deployment.
What should you do?
A. Perform a rolling-action start-update with maxSurge set to 0 and maxUnavailable set to 1.
B. Perform a rolling-action start-update with maxSurge set to 1 and maxUnavailable set to 0.
C. Create a new managed instance group with an updated instance template. Add the group to the backend service for the load balancer. When all instances in the new
managed instance group are healthy, delete the old managed instance group.
D. Create a new instance template with the new application version. Update the existing managed instance group with the new instance template. Delete the instances in
the managed instance group to allow the managed instance group to recreate the instance using the new instance template.
Answer: B
Question: 99
You are migrating a production-critical on-premises application that requires 96 vCPUs to perform its task. You want to make sure the application runs in a similar
environment on GCP.
What should you do?
A. When creating the VM, use machine type n1-standard-96.
B. When creating the VM, use Intel Skylake as the CPU platform.
C. Create the VM using Compute Engine default settings. Use gcloud to modify the running instance to have 96 vCPUs.
D. Start the VM using Compute Engine default settings, and adjust as you go based on Rightsizing Recommendations.
Answer: C
Question: 100
You are the team lead of a group of 10 developers. You provided each developer with an individual Google Cloud Project that they can use as their personal sandbox to
experiment with different Google Cloud solutions. You want to be notified if any of the developers are spending above $500 per month on their sandbox environment.
What should you do?
A. Create a single budget for all projects and configure budget alerts on this budget.
B. Create a separate billing account per sandbox project and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per billing account.
C. Create a budget per project and configure budget alerts on all of these budgets.
D. Create a single billing account for all sandbox projects and enable BigQuery billing exports. Create a Data Studio dashboard to plot the spending per project.
Answer: C
Explanation:
Reference: https://cloud.google.com/billing/docs/how-to/budgets
Question: 101
Your company publishes large files on an Apache web server that runs on a Compute Engine instance. The Apache web server is not the only application running in the
project. You want to receive an email when the egress network costs for the server exceed 100 dollars for the current month as measured by Google Cloud Platform
(GCP).
What should you do?
A. Set up a budget alert on the project with an amount of 100 dollars, a threshold of 100%, and notification type of �email.�
B. Set up a budget alert on the billing account with an amount of 100 dollars, a threshold of 100%, and notification type of �email.�
C. Export the billing data to BigQuery. Create a Cloud Function that uses BigQuery to sum the egress network costs of the exported billing data for the Apache web
server for the current month and sends an email if it is over 100 dollars. Schedule the Cloud Function using Cloud Scheduler to run hourly.
D. Use the Stackdriver Logging Agent to export the Apache web server logs to Stackdriver Logging. Create a Cloud Function that uses BigQuery to parse the HTTP
response log data in Stackdriver for the current month and sends an email if the size of all HTTP responses, multiplied by current GCP egress prices, totals over 100
dollars. Schedule the Cloud Function using Cloud Scheduler to run hourly.
Answer: D
Question: 102
Several employees at your company have been creating projects with Cloud Platform and paying for it with their personal credit cards, which the company reimburses.
The company wants to centralize all these projects under a single, new billing account.
What should you do?
A. Contact [email protected] with your bank account details and request a corporate billing account for your company.
B. Create a ticket with Google Support and wait for their call to share your credit card details over the phone.
C. In the Google Platform Console, go to the Resource Manage and move all projects to the root Organization.
D. In the Google Cloud Platform Console, create a new billing account and set up a payment method.
Answer: D
Explanation:
Reference: https://www.whizlabs.com/blog/google-cloud-interview-questions/
Question: 103
You have been asked to set up Object Lifecycle Management for objects stored in storage buckets. The objects are written once and accessed frequently for 30 days.
After 30 days, the objects are not read again unless there is a special need. The object should be kept for three years, and you need to minimize cost.
What should you do?
A. Set up a policy that uses Nearline storage for 30 days and then moves to Archive storage for three years.
B. Set up a policy that uses Standard storage for 30 days and then moves to Archive storage for three years.
C. Set up a policy that uses Nearline storage for 30 days, then moves the Coldline for one year, and then moves to Archive storage for two years.
D. Set up a policy that uses Standard storage for 30 days, then moves to Coldline for one year, and then moves to Archive storage for two years.
Answer: A
Explanation:
Reference:
https://books.google.com.pk/books?
id=q0nhDwAAQBAJ&pg=PA52&lpg=PA52&dq=Set+up+a+policy+that+uses+Nearline+storage+for+30+days+and+then+moves+to+Archive+storage+for+three+years.&
source=bl&ots=kYLZN1ymA8&sig=ACfU3U2XLmzQ39cmPDwjfWxRbNtDNLc_6g&hl=en&sa=X&
ved=2ahUKEwjZmefOpr7qAhVzQkEAHTUgASYQ6AEwAHoECAoQAQ#v=onepage&
q=Set%20up%20a%20policy%20that%20uses%20Nearline%20storage%20for%2030%20days%20and%20then%20moves%20to%20
Archive%20storage%20for%20three%20years.&f=false
Question: 104
Your company uses a large number of Google Cloud services centralized in a single project. All teams have specific projects for testing and development. The DevOps
team needs access to all of the production services in order to perform their job. You want to prevent Google Cloud product changes from broadening their permissions
in the future. You want to follow Google-recommended practices.
What should you do?
A. Grant all members of the DevOps team the role of Project Editor on the organization level.
B. Grant all members of the DevOps team the role of Project Editor on the production project.
C. Create a custom role that combines the required permissions. Grant the DevOps team the custom role on the production project.
D. Create a custom role that combines the required permissions. Grant the DevOps team the custom role on the organization level.
Answer: C
Explanation:
Understanding IAM custom roles
Key Point: Custom roles enable you to enforce the principle of least privilege, ensuring that the user and service accounts in your organization have only the permissions
essential to performing their intended functions.
Basic concepts
Custom roles are user-defined, and allow you to bundle one or more supported permissions to meet your specific needs. Custom roles are not maintained by Google;
when new permissions, features, or services are added to Google Cloud, your custom roles will not be updated automatically.
When you create a custom role, you must choose an organization or project to create it in. You can then grant the custom role on the organization or project, as well as
any resources within that organization or project.
https://cloud.google.com/iam/docs/understanding-custom-roles#basic_concepts
Question: 105
You need to enable traffic between multiple groups of Compute Engine instances that are currently running two different GCP projects. Each group of Compute Engine
instances is running in its own VPC.
What should you do?
A. Verify that both projects are in a GCP Organization. Create a new VPC and add all instances.
B. Verify that both projects are in a GCP Organization. Share the VPC from one project and request that the Compute Engine instances in the other project use this
shared VPC.
C. Verify that you are the Project Administrator of both projects. Create two new VPCs and add all instances.
D. Verify that you are the Project Administrator of both projects. Create a new VPC and add all instances.
Answer: B
Question: 106
Your organization uses G Suite for communication and collaboration. All users in your organization have a G Suite account. You want to grant some G Suite users
access to your Cloud Platform project.
What should you do?
A. Enable Cloud Identity in the GCP Console for your domain.
B. Grant them the required IAM roles using their G Suite email address.
C. Create a CSV sheet with all users� email addresses. Use the gcloud command line tool to convert them into Google Cloud Platform accounts.
D. In the G Suite console, add the users to a special group called [email protected]om. Rely on the default behavior of the Cloud Platform to grant users access if they
are members of this group.
Answer: B
Explanation:
Reference: https://cloud.google.com/resource-manager/docs/creating-managing-organization
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