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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Deploying and implementing a cloud solution	25%	- Deploying and implementing Compute Engine resources 1. Create managed instance groups 2. Configure access and security 3. Launch virtual machines 4. Manage images and snapshots - Deploying and implementing Google Kubernetes Engine resources 1. Deploy workloads 2. Configure networking for GKE 3. Create and manage clusters - Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases - Deploying and implementing serverless resources 1. Deploy Cloud Run services 2. Create Cloud Functions
Setting up a cloud solution environment	20%	- Managing billing configuration 1. Link projects to billing accounts 2. Set budgets and alerts 3. Create and manage billing accounts 4. Configure billing exports - Setting up cloud projects and accounts 1. Create resource hierarchy 2. Manage quotas and limits 3. Manage IAM roles and permissions 4. Apply organizational policies 5. Enable APIs 6. Manage users and groups
Configuring access and security	17.5%	- Configuring network security 1. Configure private access 2. Secure VPC networks 3. Manage security controls - Managing data security 1. Manage access to data 2. Enable encryption - Managing IAM 1. Implement least privilege access 2. Manage service accounts 3. Define roles and permissions
Ensuring successful operation of a cloud solution	20%	- Managing cost and performance 1. Analyze cost reports 2. Optimize resource usage - Managing resources 1. Scale resources 2. Update configurations 3. Troubleshoot common issues - Monitoring and logging 1. Use Cloud Monitoring 2. Use Cloud Logging 3. Set up alerts
Planning and configuring a cloud solution	17.5%	- Planning and configuring storage resources 1. Select storage classes 2. Plan data durability and availability - Planning and configuring network resources 1. Design VPC networks 2. Plan hybrid connectivity 3. Plan firewall rules 4. Choose load balancing options - Planning and configuring compute resources 1. Choose storage options 2. Select compute options 3. Plan instance configuration 4. Plan data storage solutions

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Google Associate Cloud Engineer Exam Sample Questions (Q291-Q296):

NEW QUESTION # 291
Your company wants to migrate your data from an on-premises relational database to Google Cloud. Your current database can no longer scale with respect to the growth of your users, and you expect the number of users to rapidly grow. You need to choose a relational database that allows you to globally scale while minimizing your management and administration efforts. You also want to follow Google-recommended practices. What should you do?

A. Use Firestore.
B. Use Spanner.
C. Use Cloud SQL.
D. Use BigQuery.

Answer: B

Explanation:
Spanner is Google's globally distributed, horizontally scalable relational database service. It minimizes operational management and supports strong consistency across regions, making it the recommended choice for large-scale, globally growing relational workloads.

NEW QUESTION # 292
For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances.
You want to minimize cost. What should you do?

A. 1. Give the BigQuery Data Editor role on the platform-logs dataset to the service accounts used by your instances.2. Update your instances' metadata to add the following value: logs-destination:
bq://platform-logs.
B. 1. Create a Cloud Function that has the BigQuery User role on the platform-logs dataset.2. Configure this Cloud Function to create a BigQuery Job that executes this query:INSERT INTO dataset.platform-logs (timestamp, log)SELECT timestamp, log FROM compute.logsWHERE timestamp
> DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)3. Use Cloud Scheduler to trigger this Cloud Function once a day.
C. 1. In Stackdriver Logging, create a filter to view only Compute Engine logs.2. Click Create Export.3.
Choose BigQuery as Sink Service, and the platform-logs dataset as Sink Destination.
D. 1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logs as a sink.2.
Create a Cloud Function that is triggered by messages in the logs topic.3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logs dataset.

Answer: C

NEW QUESTION # 293
Your company's accounting department needs to run an overnight batch workload every day. You must implement a solution that minimizes the cost to run this workload and automatically retries the batch if an execution fails. What should you do?

A. Develop an application that runs the batch workload, and deploy the application as a Cloud Run Job.
Use Cloud Scheduler to trigger the Job.
B. Develop a web application that listens for incoming requests and deploy the application as a Google Kubernetes Engine (GKE) Deployment. Use Cloud Scheduler to call the HTTP endpoint.
C. Develop a web application that listens for incoming requests and deploy the application as a Cloud Run service. Use Cloud Scheduler to call the HTTP endpoint.
D. Develop an application that runs the batch workload, and deploy the application as a Google Kubernetes Engine (GKE) CronJob.

Answer: A

Explanation:
For running an automated, scheduled, short-lived, and repeatable compute task (a batch workload) while minimizing cost and having automatic retries:
* Batch Workload/Retries: A Cloud Run Job is specifically designed for running containers that execute a task and then exit. It natively supports automatic retries on failure, which is a key requirement.
* Scheduling: Cloud Scheduler is the native, fully managed service for defining and triggering scheduled tasks, which satisfies the "overnight every day" requirement.
* Cost Minimization: Cloud Run Jobs are serverless and only consume resources (and thus incur costs) while the batch task is actively running. This is significantly cheaper and lower overhead than running a persistent GKE cluster (Option A and B) or a continuous Cloud Run Service (Option D), which is designed for continuous request handling, not single batch execution.
Reference: Google Cloud documentation on Cloud Run Jobs. "Cloud Run jobs are ideal for running code that performs work and then terminates, such as a batch job." and Cloud Scheduler documentation.

NEW QUESTION # 294
Your coworker has helped you set up several configurations for gcloud. You've noticed that you're running commands against the wrong project. Being new to the company, you haven't yet memorized any of the projects. With the fewest steps possible, what's the fastest way to switch to the correct configuration?

A. Run gcloud config list followed by gcloud config activate.
B. Re-authenticate with the gcloud auth login command and select the correct configurations on login.
C. Run gcloud configurations list followed by gcloud configurations activate .
D. Run gcloud config configurations list followed by gcloud config configurations activate.

Answer: D

Explanation:
As gcloud config configurations list can help check for the existing configurations and activate can help switch to the configuration.
gcloud config configurations list - lists existing named configurations gcloud config configurations activate - activates an existing named configuration Obtains access credentials for your user account via a web-based authorization flow.
When this command completes successfully, it sets the active account in the current configuration to the account specified. If no configuration exists, it creates a configuration named default.

NEW QUESTION # 295
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.viewer --project my-project. Add the users to a new group.
Add the group to the role.
B. Run gcloud iam roles describe roles/spanner.viewer --project my-project. Add the users to the role.
C. Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to the role.
D. Run gcloud iam roles describe roles/spanner.databaseUser. Add the users to a new group. Add the group to the role.

Answer: C

NEW QUESTION # 296
......

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