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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q199-Q204):

NEW QUESTION # 199
A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

A. Cloud Functions
B. Google Compute Engine
C. Google Kubernetes Engine
D. Google App Engine

Answer: A

Explanation:
Text Description automatically generated with low confidence

Cloud Functions is Google Cloud's event-driven serverless compute platform. It automatically scales based on the load and requires no additional configuration. You pay only for the resources used.
Ref: https://cloud.google.com/functions
While all other options i.e. Google Compute Engine, Google Kubernetes Engine, Google App Engine support autoscaling, it needs to be configured explicitly based on the load and is not as trivial as the scale up or scale down offered by Google's cloud functions.

NEW QUESTION # 200
Your team is working on designing an IoT solution. There are thousands of devices that need to send periodic time series data for processing. Which services should be used to ingest and store the data?

A. Pub/Sub, Bigtable
B. Pub/Sub, Datastore
C. Dataproc, Bigtable
D. Pub/Sub, Dataproc

Answer: A

NEW QUESTION # 201
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

A. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery jobUser role to the group.
B. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery dataViewer user role to the group.
C. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery jobUser role to the group.
D. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery dataViewer user role to the group.

Answer: A

Explanation:
Explanation
Read the dataset's metadata and to list tables in the dataset. Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
BigQuery Data Viewer
(roles/bigquery.dataViewer)
When applied to a table or view, this role provides permissions to:
Read data and metadata from the table or view.
This role cannot be applied to individual models or routines.
When applied to a dataset, this role provides permissions to:
Read the dataset's metadata and list tables in the dataset.
Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
Lowest-level resources where you can grant this role:
Table
View
BigQuery Job User
(roles/bigquery.jobUser)
Provides permissions to run jobs, including queries, within the project.
Lowest-level resources where you can grant this role:
Project
to run jobs https://cloud.google.com/bigquery/docs/access-control#bigquery.jobUser databaseUser needs additional role permission to run jobs https://cloud.google.com/spanner/docs/iam#spanner.databaseUser

NEW QUESTION # 202
You need to reduce GCP service costs for a division of your company using the fewest possible steps. You need to turn off all configured services in an existing GCP project. What should you do?

A. 1. Verify that you are assigned the Organizational Administrator IAM role for this project.
2. Locate the project in the GCP console, enter the project ID and then click Shut down.
B. 1. Verify that you are assigned the Project Owners IAM role for this project.
2. Switch to the project in the GCP console, locate the resources and delete them.
C. 1. Verify that you are assigned the Organizational Administrators IAM role for this project.
2. Switch to the project in the GCP console, locate the resources and delete them.
D. 1. Verify that you are assigned the Project Owners IAM role for this project.
2. Locate the project in the GCP console, click Shut down and then enter the project ID.

Answer: D

Explanation:
Explanation
https://cloud.google.com/run/docs/tutorials/gcloud
https://cloud.google.com/resource-manager/docs/creating-managing-projects
https://cloud.google.com/iam/docs/understanding-roles#primitive_roles
You can shut down projects using the Cloud Console. When you shut down a project, this immediately happens: All billing and traffic serving stops, You lose access to the project, The owners of the project will be notified and can stop the deletion within 30 days, The project will be scheduled to be deleted after 30 days.
However, some resources may be deleted much earlier.

NEW QUESTION # 203
Your team has developed a stateless application which requires it to be run directly on virtual machines. The application is expected to receive a fluctuating amount of traffic and needs to scale automatically. You need to deploy the application. What should you do?

A. Deploy the application on a managed instance group and configure autoscaling.
B. Deploy the application on Cloud Functions and configure the maximum number instances.
C. Deploy the application on a Kubernetes Engine cluster and configure node pool autoscaling.
D. Deploy the application on Cloud Run and configure autoscaling.

Answer: A

NEW QUESTION # 204
......

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