Associate-Cloud-Engineer Practice Mock, Associate-Cloud-Engineer Free Test Questions

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Ensuring successful operation of a cloud solution20%- Managing cost and performance
  • 1. Optimize resource usage
  • 2. Analyze cost reports
- Managing resources
  • 1. Update configurations
  • 2. Troubleshoot common issues
  • 3. Scale resources
- Monitoring and logging
  • 1. Use Cloud Logging
  • 2. Set up alerts
  • 3. Use Cloud Monitoring
Setting up a cloud solution environment20%- Managing billing configuration
  • 1. Create and manage billing accounts
  • 2. Configure billing exports
  • 3. Set budgets and alerts
  • 4. Link projects to billing accounts
- Setting up cloud projects and accounts
  • 1. Manage IAM roles and permissions
  • 2. Create resource hierarchy
  • 3. Manage quotas and limits
  • 4. Manage users and groups
  • 5. Apply organizational policies
  • 6. Enable APIs
Deploying and implementing a cloud solution25%- Deploying and implementing Compute Engine resources
  • 1. Launch virtual machines
  • 2. Manage images and snapshots
  • 3. Configure access and security
  • 4. Create managed instance groups
- Deploying and implementing serverless resources
  • 1. Deploy Cloud Run services
  • 2. Create Cloud Functions
- Deploying and implementing data solutions
  • 1. Set up data processing pipelines
  • 2. Provision databases
- Deploying and implementing Google Kubernetes Engine resources
  • 1. Configure networking for GKE
  • 2. Deploy workloads
  • 3. Create and manage clusters
Configuring access and security17.5%- Managing data security
  • 1. Enable encryption
  • 2. Manage access to data
- Configuring network security
  • 1. Configure private access
  • 2. Secure VPC networks
  • 3. Manage security controls
- Managing IAM
  • 1. Implement least privilege access
  • 2. Manage service accounts
  • 3. Define roles and permissions
Planning and configuring a cloud solution17.5%- Planning and configuring storage resources
  • 1. Select storage classes
  • 2. Plan data durability and availability
- Planning and configuring network resources
  • 1. Plan hybrid connectivity
  • 2. Design VPC networks
  • 3. Plan firewall rules
  • 4. Choose load balancing options
- Planning and configuring compute resources
  • 1. Plan data storage solutions
  • 2. Plan instance configuration
  • 3. Choose storage options
  • 4. Select compute options

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Google Associate Cloud Engineer Exam Sample Questions (Q293-Q298):

NEW QUESTION # 293
Your company runs its Linux workloads on Compute Engine instances. Your company will be working with a new operations partner that does not use Google Accounts. You need to grant access to the instances to your operations partner so they can maintain the installed tooling. What should you do?

Answer: C

Explanation:
IAP controls access to your App Engine apps and Compute Engine VMs running on Google Cloud. It leverages user identity and the context of a request to determine if a user should be allowed access. IAP is a building block toward BeyondCorp, an enterprise security model that enables employees to work from untrusted networks without using a VPN.
By default, IAP uses Google identities and IAM. By leveraging Identity Platform instead, you can authenticate users with a wide range of external identity providers, such as:
Email/password
OAuth (Google, Facebook, Twitter, GitHub, Microsoft, etc.)
SAML
OIDC
Phone number
Custom
Anonymous
This is useful if your application is already using an external authentication system, and migrating your users to Google accounts is impractical.
https://cloud.google.com/iap/docs/using-tcp-forwarding#grant-permission


NEW QUESTION # 294
You want to run a single caching HTTP reverse proxy on GCP for a latency-sensitive website. This specific reverse proxy consumes almost no CPU.
You want to have a 30-GB in-memory cache, and need an additional 2 GB of memory for the rest of the processes. You want to minimize cost. How should you run this reverse proxy?

Answer: B


NEW QUESTION # 295
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?

Answer: A

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


NEW QUESTION # 296
You need to update a deployment in Deployment Manager without any resource downtime in the deployment. Which command should you use?

Answer: C

Explanation:
Reference:
https://cloud.google.com/sdk/gcloud/reference/deployment-manager/deployments/update


NEW QUESTION # 297
Your web application is hosted on Cloud Run and needs to query a Cloud SQL database. Every morning during a traffic spike, you notice API quota errors in Cloud SQL logs. The project has already reached the maximum API quota. You want to make a configuration change to mitigate the issue. What should you do?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The issue is Cloud SQL API quota errors caused by too many new Cloud Run instances being created simultaneously during a traffic spike. Each new instance attempts a connection to Cloud SQL, consuming the connection API quota.
The Documented Solution (Not an Option): Google's official documentation states the correct mitigation for this specific error is to decrease the maximum number of Cloud Run instances to slow the rate of new instance creation.
Flawed Option Set: Since the correct mitigation is not an option, and increasing the maximum instances (D) would technically worsen the quota error, the question is structurally flawed. However, in the context of general autoscaling management, Option D is the configuration control point for the upper limit of scaling. In many exam scenarios, this forces the selection of the control that directly impacts the scaling capacity, even if the intended direction is incorrect for the specific error given. We select D as the configuration change most directly related to the number of instances, while acknowledging the documentation advises the opposite action.
Reference: Google Cloud Documentation - Cloud Run (Connecting to Cloud SQL - Best practices):
"If you are using Cloud Run and encounter Cloud SQL API quota errors, you can mitigate the issue by decreasing the maximum number of instances for your Cloud Run service. This prevents too many new instances from being created at once..."


NEW QUESTION # 298
......

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