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Google Associate Cloud Engineer certification exam is designed for professionals who want to demonstrate their proficiency in using Google Cloud technologies to deploy, manage, and monitor applications on the cloud. It is a highly respected certification that is recognized in the industry and can help individuals advance their careers in cloud computing.

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To earn the Google Associate-Cloud-Engineer Certification, candidates need to have a good understanding of the GCP infrastructure, networking, and storage services. They should also have experience in deploying and managing applications on GCP. Google Associate Cloud Engineer Exam certification exam consists of multiple-choice questions and practical scenarios that test the candidate's knowledge and skills in these areas.

Google Associate Cloud Engineer Exam Sample Questions (Q143-Q148):

NEW QUESTION # 143
Your company has a mission-critical application that serves users globally. You need to select a transactional, relational data storage system for this application. Which two products should you consider

A. Cloud Datastore
B. Cloud Bigtable
C. BigQuery
D. Cloud Spanner
E. Cloud SQL

Answer: D,E

Explanation:
A is not correct because BigQuery is not a transactional system.
B is correct because Cloud SQL is a relational and transactional database in the list.
C Is correct because Spanner is a relational and transactional database in the list.
D is not correct because Cloud Bigtable provides transactional support but it's not relational.
E Is not correct because Datastore is not a relational data storage system.

NEW QUESTION # 144
You are migrating your company's on-premises compute resources to Google Cloud. You need to deploy batch processing jobs that run every night. The jobs require significant CPU and memory for several hours but can tolerate interruptions. You must ensure that the deployment is cost- effective.
What should you do?

A. Use Spot VMs on Compute Engine.
B. Use custom machine types on Compute Engine.
C. Use the M1 machine series on Compute Engine.
D. Containerize the batch processing jobs and deploy them on Compute Engine.

Answer: A

Explanation:
Using Spot VMs on Compute Engine is the most cost-effective solution for batch processing jobs that require significant CPU and memory for several hours and can tolerate interruptions. Spot VMs are discounted instances that can be preempted by Google Cloud at any time, making them ideal for workloads that are not time-sensitive and can handle interruptions. This approach minimizes costs while meeting your performance requirements.

NEW QUESTION # 145
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

A. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30
B. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2. Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3. Configure the instance's crontab to execute these scripts daily at 1:00 AM.
C. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2. Create a Cloud Function that deletes snapshots that are older than 30 days.
3. Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
D. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
- Schedule frequency: Daily
- Start time: 1:00 AM - 2:00 AM
- Autodelete snapshots after 30 days

Answer: D

NEW QUESTION # 146
You work for a retail company that has a busy online store. As you are approaching New Year, you find that your e-store is getting more and more traffic. You ensure that your web servers are behind a managed instance group. However, you notice that the web tier is frequently scaling, sometimes multiple times in an hour. You need to keep instance group from scaling up and down so rapidly. Which of the following options would help you to achieve this?

A. Change the auto scaling metric to use multiple metrics instead of just one metric.
B. Reduce the number of maximum instance count.
C. Increase the cool down period.
D. Associate a health check with instance group.

Answer: C

NEW QUESTION # 147
(You deployed an application on a managed instance group in Compute Engine. The application accepts Transmission Control Protocol (TCP) traffic on port 389 and requires you to preserve the IP address of the client who is making a request. You want to expose the application to the internet by using a load balancer.
What should you do?)

A. Expose the application by using an external passthrough Network Load Balancer.
B. Expose the application by using a regional external proxy Network Load Balancer.
C. Expose the application by using an internal passthrough Network Load Balancer.
D. Expose the application by using a global external proxy Network Load Balancer.

Answer: A

Explanation:
An external passthrough Network Load Balancer operates at layer 4 (TCP/UDP) and preserves the original client IP address. This is a key requirement stated in the question. It's also designed for external-facing applications that need to handle TCP or UDP traffic directly without proxying at the application layer.
Option A: An internal passthrough Network Load Balancer is used for load balancing traffic within a Virtual Private Cloud (VPC) network, not for exposing applications to the public internet.
Option C & D: Global and regional external proxy Network Load Balancers operate at layer 7 (HTTP
/HTTPS) or use a proxy for TCP/SSL, which means they terminate the client connection at the load balancer and establish a new connection to the backend instances. This does not preserve the original client IP address by default (though there are ways to retrieve it via headers, it's not a direct passthrough).
Reference to Google Cloud Certified - Associate Cloud Engineer Documents:
The different types of Google Cloud Load Balancers, their operating layers (L4 vs. L7), and their capabilities, including client IP preservation, are thoroughly documented in the Google Cloud Load Balancing documentation, a critical area for the Associate Cloud Engineer certification. The distinction between passthrough and proxy load balancers is essential.

NEW QUESTION # 148
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