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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q254-Q259):

NEW QUESTION # 254
You have created a code snippet that should be triggered whenever a new file is uploaded to a Cloud Storage bucket. You want to deploy this code snippet. What should you do?

Answer: B

Explanation:
Google Cloud Storage Triggers
Cloud Functions can respond to change notifications emerging from Google Cloud Storage. These notifications can be configured to trigger in response to various events inside a bucket-object creation, deletion, archiving and metadata updates.
Note: Cloud Functions can only be triggered by Cloud Storage buckets in the same Google Cloud Platform project.
Event types
Cloud Storage events used by Cloud Functions are based on Cloud Pub/Sub Notifications for Google Cloud Storage and can be configured in a similar way.
Supported trigger type values are:
google.storage.object.finalize
google.storage.object.delete
google.storage.object.archive
google.storage.object.metadataUpdate
Object Finalize
Trigger type value: google.storage.object.finalize
This event is sent when a new object is created (or an existing object is overwritten, and a new generation of that object is created) in the bucket.
https://cloud.google.com/functions/docs/calling/storage#event_types


NEW QUESTION # 255
You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible.
What should you do?

Answer: C


NEW QUESTION # 256
You are building a pipeline to process time-series dat
a. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

Answer: A

Explanation:
Reference:
https://cloud.google.com/solutions/correlating-time-series-dataflow


NEW QUESTION # 257
You have been asked to migrate a docker application from datacenter to cloud. Your solution architect has suggested uploading docker images to GCR in one project and running an application in a GKE cluster in a separate project. You want to store images in the project img-278322 and run the application in the project prod-278986. You want to tag the image as acme_track_n_trace:v1. You want to follow Google-recommended practices. What should you do?

Answer: A

Explanation:
Explanation
Run gcloud builds submit tag gcr.io/img-278322/acme_track_n_trace:v1. is the right answer.
This command correctly tags the image as acme_track_n_trace:v1 and uploads the image to the img-278322 project.
Ref: https://cloud.google.com/sdk/gcloud/reference/builds/submit


NEW QUESTION # 258
You manage an App Engine Service that aggregates and visualizes data from BigQuery. The application is deployed with the default App Engine Service account. The data that needs to be visualized resides in a different project managed by another team. You do not have access to this project, but you want your application to be able to read data from the BigQuery dataset. What should you do?

Answer: D

Explanation:
Explanation
The Owner, Editor, and Viewer primitive roles include the BigQuery Admin (roles/bigquery.dataOwner), BigQuery Data Editor (roles/bigquery.dataEditor), and BigQuery Data Viewer (roles/bigquery.dataViewer) roles, respectively. This means the Owner, Editor, and Viewer primitive roles have BigQuery access as defined for the respective BigQuery roles.


NEW QUESTION # 259
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