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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q379-Q384):

NEW QUESTION # 379
You need to manage a third-party application that will run on a Compute Engine instance. Other Compute Engine instances are already running with default configuration. Application installation files are hosted on Cloud Storage. You need to access these files from the new instance without allowing other virtual machines (VMs) to access these files. What should you do?

A. Create a new service account and assign this service account to the new instance.
Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
B. Create the instance with the default Compute Engine service account.
Grant the service account permissions on Cloud Storage.
C. Create a new service account and assign this service account to the new instance.
Grant the service account permissions on Cloud Storage.
D. Create the instance with the default Compute Engine service account.
Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.

Answer: C

Explanation:
If an application uses third-party or custom identities and needs to access a resource, such as a BigQuery dataset or a Cloud Storage bucket, it must perform a transition between principals.
Because Google Cloud APIs don't recognize third-party or custom identities, the application can't propagate the end-user's identity to BigQuery or Cloud Storage. Instead, the application has to perform the access by using a different Google identity.
https://cloud.google.com/iam/docs/best-practices-for-using-and-managing-service-accounts

NEW QUESTION # 380
The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors.
You expect high throughput ?up to thousands of events per hour per device ?and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

A. Create a file in Cloud Storage per device and append new data to that file.
B. Create a file in Cloud Filestore per device and append new data to that file.
C. Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.
D. Ingest the data into Datastore. Store data in an entity group based on the device.

Answer: D

NEW QUESTION # 381
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. In the G Suite console, add the users to a special group called cloud-console-users@yourdomain.com.
Rely on the default behavior of the Cloud Platform to grant users access if they are members of this group.
B. Enable Cloud Identity in the GCP Console for your domain.
C. Grant them the required IAM roles using their G Suite email address.
D. Create a CSV sheet with all users' email addresses. Use the gcloud command line tool to convert them into Google Cloud Platform accounts.

Answer: C

NEW QUESTION # 382
You are designing an application that uses WebSockets and HTTP sessions that are not distributed across the web servers. You want to ensure the application runs properly on Google Cloud Platform. What should you do?

A. Redesign the application to use a distributed user session service that does not rely on WebSockets and HTTP sessions.
B. Meet with the cloud enablement team to discuss load balancer options.
C. Review the encryption requirements for WebSocket connections with the security team.
D. Convert the WebSocket code to use HTTP streaming.

Answer: B

Explanation:
Explanation
Google HTTP(S) Load Balancing has native support for the WebSocket protocol when you use HTTP or HTTPS, not HTTP/2, as the protocol to the backend.
Ref: https://cloud.google.com/load-balancing/docs/https#websocket_proxy_support So the next possible step is to Meet with the cloud enablement team to discuss load balancer options.
We dont need to convert WebSocket code to use HTTP streaming or Redesign the application, as WebSocket support is offered by Google HTTP(S) Load Balancing. Reviewing the encryption requirements is a good idea but it has nothing to do with WebSockets.

NEW QUESTION # 383
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery.
Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

A. Use the BigQuery interface to review the nightly Job and look for any errors
B. Review the Error Reporting page in the Cloud Console to find any errors.
C. Use the open source CLI tool. Snapshot Debugger, to find out why the data was not refreshed correctly.
D. In Cloud Logging create a filter for your Data Studio report

Answer: C

Explanation:
Cloud Debugger helps inspect the state of an application, at any code location, without stopping or slowing down the running app // https://cloud.google.com/debugger/docs

NEW QUESTION # 384
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