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Passing the Google Associate-Cloud-Engineer Certification Exam is a great way to demonstrate your knowledge of GCP and your ability to deploy and manage applications on the platform. Google Associate Cloud Engineer Exam certification can open up new career opportunities and increase your earning potential. It can also help your organization to demonstrate their expertise in GCP and attract new customers.

Google Associate Cloud Engineer Exam Sample Questions (Q46-Q51):

NEW QUESTION # 46
You built an application on Google Cloud Platform that uses Cloud Spanner. Your support team needs to monitor the environment but should not have access to table data. You need a streamlined solution to grant the correct permissions to your support team, and you want to follow Google-recommended practices. What should you do?

Answer: D


NEW QUESTION # 47
Your company has a 3-tier solution running on Compute Engine. The configuration of the current infrastructure is shown below.

Each tier has a service account that is associated with all instances within it. You need to enable communication on TCP port 8080 between tiers as follows:
* Instances in tier #1 must communicate with tier #2.
* Instances in tier #2 must communicate with tier #3.
What should you do?

Answer: A

Explanation:
1. Create an ingress firewall rule with the following settings: " Targets: all instances with tier #2 service account " Source filter: all instances with tier #1 service account " Protocols: allow TCP:8080 2. Create an ingress firewall rule with the following settings: " Targets: all instances with tier #3 service account " Source filter: all instances with tier #2 service account " Protocols: allow TCP: 8080


NEW QUESTION # 48
You have deployed a Django 1.5 Python application to App Engine. This version of Django requires Python 3. Due to some issues, App Engine is trying to run the application using Python
2. Which of the following file would you check and modify (if required) to ensure that Python 3 is used with the application?

Answer: D


NEW QUESTION # 49
You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

Answer: C

Explanation:
Reference: https://cloud.google.com/solutions/correlating-time-series-dataflow
https://cloud.google.com/blog/products/data-analytics/handling-duplicate-data-in-streaming-pipeline-using-pubsub-dataflow
https://cloud.google.com/bigtable/docs/schema-design-time-series


NEW QUESTION # 50
You want to host your video encoding software on Compute Engine. Your user base is growing rapidly, and users need to be able 3 to encode their videos at any time without interruption or CPU limitations. You must ensure that your encoding solution is highly available, and you want to follow Google-recommended practices to automate operations. What should you do?

Answer: B

Explanation:
Instance groups are collections of virtual machine (VM) instances that you can manage as a single entity. Instance groups can help you simplify the management of multiple instances, reduce operational costs, and improve the availability and performance of your applications. Instance groups support autoscaling, which automatically adds or removes instances from the group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower. You can set the autoscaling policy based on CPU utilization, load balancing capacity, Cloud Monitoring metrics, or a queue-based workload. In this case, since the video encoding software is CPU-intensive, setting the autoscaling based on CPU utilization is the best option to ensure high availability and optimal performance. Reference:
Instance groups
Autoscaling groups of instances


NEW QUESTION # 51
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