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Google Associate-Cloud-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Associate Cloud Engineer
Exam Number:	GCP ACE
Passing Score:	70%
Exam Format:	Multiple Select, Multiple Choice
Exam Duration:	120 minutes
Certificate Validity Period:	2 years
Real Exam Qty:	50
Available Languages:	Japanese, Spanish, English, Portuguese
Exam Price:	$125 USD
Related Certifications:	Professional Data Engineer Professional Cloud Developer Professional Cloud Architect
Sample Questions:	Google Associate-Cloud-Engineer Sample Questions
Exam Way:	Online proctored or in-person testing center
Pre Condition:	No formal prerequisites required. Recommended: hands-on experience with GCP Console and command-line tools, basic understanding of cloud computing concepts.
Official Syllabus URL:	https://cloud.google.com/certification/associate-cloud-engineer

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To prepare for the Google Associate-Cloud-Engineer Certification Exam, you need to have hands-on experience with GCP services and technologies. You can also take online courses, attend training programs, and read study materials provided by Google to enhance your knowledge and skills. Google also provides practice exams and sample questions to help you assess your readiness for the certification exam.

Google Associate Cloud Engineer certification exam is a valuable credential for individuals seeking to demonstrate their proficiency in deploying, monitoring, and maintaining applications on the Google Cloud Platform (GCP). Associate-Cloud-Engineer Exam is designed to assess the candidate's understanding of fundamental cloud computing concepts, as well as their ability to use GCP tools and services to build and manage cloud-based solutions. Google Associate Cloud Engineer Exam certification validates one's skills and knowledge in cloud infrastructure, security, networking, and data storage, making it a valuable certification for IT professionals and cloud engineers.

Google Associate Cloud Engineer Exam Sample Questions (Q274-Q279):

NEW QUESTION # 274
Your company is migrating its workloads to Google Cloud due to an expiring data center contract.
The on-premises environment and Google Cloud are not connected. You have decided to follow a lift- and-shift approach, and you plan to modernize the workloads in a future project. Several old applications connect to each other through hard-coded internal IP addresses. You want to migrate these workloads quickly without modifying the application code. You also want to maintain all functionality. What should you do?

A. Create a VPC with the same CIDR ranges as your on-premises network. When migrating individual workloads, assign each workload the same static internal IP address.
B. Migrate your DNS server first. Configure Cloud DNS with a forwarding zone to your migrated DNS server. Then migrate all other workloads with ephemeral internal IP addresses.
C. Create a VPC with non-overlapping CIDR ranges compared to your on-premises network. When migrating individual workloads, assign each workload a new static internal IP address.
D. Migrate all workloads to a single VPC subnet. Configure Cloud NAT for the subnet and manually assign a static IP address to the Cloud NAT gateway.

Answer: A

Explanation:
Creating a VPC with the same CIDR ranges as your on-premises network and assigning each migrated workload the same static internal IP address allows you to maintain compatibility with the old applications that rely on hard-coded internal IP addresses. This solution ensures that the workloads can continue to communicate using the same IP addresses as they did in the on- premises environment, making the migration process smoother without modifying the application code.

NEW QUESTION # 275
You built an application on your development laptop that uses Google Cloud services. Your application uses Application Default Credentials for authentication and works fine on your development laptop. You want to migrate this application to a Compute Engine virtual machine (VM) and set up authentication using Google- recommended practices and minimal changes. What should you do?

A. Store credentials for service accounts with appropriate access for Google services in a config file, and deploy this config file with your application.
B. Create a service account with appropriate access for Google services, and configure the application to use this account.
C. Assign appropriate access for Google services to the service account used by the Compute Engine VM.
D. Store credentials for your user account with appropriate access for Google services in a config file, and deploy this config file with your application.

Answer: B

Explanation:
In general, Google recommends that each instance that needs to call a Google API should run as a service account with the minimum permissions necessary for that instance to do its job. In practice, this means you should configure service accounts for your instances with the following process: Create a new service account rather than using the Compute Engine default service account. Grant IAM roles to that service account for only the resources that it needs. Configure the instance to run as that service account. Grant the instance the https://www.googleapis.com/auth/cloud-platform scope to allow full access to all Google Cloud APIs, so that the IAM permissions of the instance are completely determined by the IAM roles of the service account. Avoid granting more access than necessary and regularly check your service account permissions to make sure they are up-to-date. https://cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances#best_practices

NEW QUESTION # 276
You've deployed a microservice called myapp1to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

A. Store the database password inside the Docker image of the container, not in the YAML file.
B. Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.
C. Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.
D. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.

Answer: D

NEW QUESTION # 277
You work for a financial services company that operates as a stock market broker. Your company is planning to migrate to Google Cloud. You need to plan the network design in Google Cloud.
Your design must:
- Minimize the latency between all production systems.
- Minimize costs related to your development environment.
What should you do?

A. Create a VPC in the Standard Tier and one in the Premium Tier. Deploy development workloads in the Standard Tier and production workloads in the Premium Tier.
B. Create a VPC in the Premium Tier, and deploy both production and development workloads on this VPC.
C. Create a VPC in the Standard Tier, and deploy both production and development workloads on this VPC.
D. Create a VPC in the Standard Tier and one in the Premium Tier. Deploy production workloads in the Standard Tier and development workloads in the Premium Tier.

Answer: A

Explanation:
Google Cloud offers two networking tiers:
* Premium Tier: Uses Google's highly optimized global network to deliver low latency, high
availability, and high performance.
* Standard Tier: Uses the public internet for routing, which is more cost-effective but may
introduce higher latency compared to the Premium Tier.
Given requirements:
* Minimize Latency for Production Systems:
Production workloads, especially for a financial services company where every millisecond matters, should leverage the Premium Tier to take advantage of Google's global network for low latency and high reliability.
* Minimize Costs for the Development Environment:
Development workloads can tolerate higher latency. Therefore, deploying them on the Standard Tier will help reduce costs while still providing the necessary connectivity.
Chosen solution suggests creating two separate VPCs:
* One VPC in the Premium Tier for production workloads.
* One VPC in the Standard Tier for development workloads.
This design meets both requirements: it minimizes latency for production systems by using the Premium Tier and minimizes costs for the development environment by using the Standard Tier.

NEW QUESTION # 278
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 45%.
If you exceed this threshold, add nodes lo your instance.
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 ot 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 65%.
Use database query statistics to identity queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage.

Answer: A

NEW QUESTION # 279
......

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