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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Ensuring successful operation of a cloud solution	20%	- Monitoring and logging 1. Use Cloud Monitoring 2. Set up alerts 3. Use Cloud Logging - Managing cost and performance 1. Analyze cost reports 2. Optimize resource usage - Managing resources 1. Update configurations 2. Troubleshoot common issues 3. Scale resources
Setting up a cloud solution environment	20%	- 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. Enable APIs 2. Manage quotas and limits 3. Apply organizational policies 4. Manage IAM roles and permissions 5. Manage users and groups 6. Create resource hierarchy
Deploying and implementing a cloud solution	25%	- Deploying and implementing serverless resources 1. Create Cloud Functions 2. Deploy Cloud Run services - 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. Provision databases 2. Set up data processing pipelines - Deploying and implementing Compute Engine resources 1. Configure access and security 2. Create managed instance groups 3. Manage images and snapshots 4. Launch virtual machines
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. Secure VPC networks 2. Manage security controls 3. Configure private access
Planning and configuring a cloud solution	17.5%	- Planning and configuring compute resources 1. Plan instance configuration 2. Plan data storage solutions 3. Select compute options 4. Choose storage options - 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

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Google Associate Cloud Engineer Exam Sample Questions (Q242-Q247):

NEW QUESTION # 242
You have a VM instance running in a VPC with single-stack subnets. You need to ensure that the VM instance has a fixed IP address so that other services hosted in the same VPC can communicate with the VM. You want to follow Google-recommended practices while minimizing cost. What should you do?

A. Reserve a new static external IPv6 address and assign the new IP address to the VM.
B. Reserve a new static external IP address and assign the new IP address to the VM.
C. Promote the existing IP address of the VM to become a static internal IP address.
D. Promote the existing IP address of the VM to become a static external IP address.

Answer: C

Explanation:
1. Fixed IP Address for VPC Communication:
* Services within the same VPC typically communicate using internal IP addresses.
* Promoting the existing internal IP address to a static internal IP address ensures that the VM
retains the same IP address even after reboots, meeting the requirement for fixed IP communication.
2. Minimizing Cost:
* Using internal IP addresses is cost-effective compared to external IPs because there are no
additional charges for internal communication within a VPC.
3. Single-Stack Subnets:
* Since the subnets are single-stack (likely IPv4-only), assigning or reserving an external or IPv6
address (as in options C and D) is unnecessary and adds cost.
4. Google-Recommended Practices:
* Google Cloud recommends using internal IP addresses for communication within a VPC to
improve security and reduce costs.

NEW QUESTION # 243
A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

A. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.
B. Create a node pool with preemptible VMs and GPUs attached to those VMs.
C. Create a VerticalPodAutscaler for those workloads.
D. Enable node auto-provisioning on the GKE cluster.

Answer: B

NEW QUESTION # 244
You need to manage a Cloud Spanner Instance for best query performance. Your instance in production runs in a single Google Cloud region. You need to improve performance in the shortest amount of time. You want to follow Google best practices for service configuration. What should you do?

A. Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65%. Use database query statistics to identity queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage.
B. Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65% If you exceed this threshold, add nodes to your instance
C. Create an alert in Cloud Monitoring to alert when the percentage to high priority CPU utilization reaches
45% Use database query statistics to identify queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage
D. Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 45% If you exceed this threshold, add nodes lo your instance.

Answer: C

Explanation:
Explanation
https://cloud.google.com/spanner/docs/cpu-utilization#recommended-max

NEW QUESTION # 245
Your company uses BigQuery for data warehousing. Over time, many different business units in your company have created 1000+ datasets across hundreds of projects. Your CIO wants you to examine all datasets to find tables that contain an employee_ssn column. You want to minimize effort in performing this task. What should you do?

A. Go to Data Catalog and search for employee_ssn in the search box.
B. Write a Cloud Dataflow job that loops through all the projects in your organization and runs a query on INFORMATION_SCHEMA.COLUMNS view to find employee_ssn column.
C. Write a script that loops through all the projects in your organization and runs a query on INFORMATION_SCHEMA.COLUMNS view to find the employee_ssn column.
D. Write a shell script that uses the bq command line tool to loop through all the projects in your organization.

Answer: A

Explanation:
Explanation
https://cloud.google.com/bigquery/docs/quickstarts/quickstart-web-ui?authuser=4

NEW QUESTION # 246
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 open source CLI tool. Snapshot Debugger, to find out why the data was not refreshed correctly.
B. In Cloud Logging create a filter for your Data Studio report
C. Review the Error Reporting page in the Cloud Console to find any errors.
D. Use the BigQuery interface to review the nightly Job and look for any errors

Answer: A

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 # 247
......

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