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The Google Associate-Cloud-Engineer Exam is intended for those who are interested in pursuing a career in cloud computing or want to gain a deeper understanding of Google Cloud Platform. With the increasing demand for cloud computing professionals, the Google Associate Cloud Engineer certification provides an opportunity for individuals to showcase their skills and knowledge in this field. As a Google-certified professional, individuals can demonstrate their expertise in cloud computing and increase their chances of getting hired by top companies in the tech industry.

Prerequisites

The certification test has no formal prerequisites. However, hands-on experience with Google Cloud will be a benefit. The candidates are recommended to have at least 6 months of practical experience in the domain of the Google Associate Cloud Engineer exam. In addition, the applicants need to develop an in-depth understanding of the topics covered in the test.

Google Associate Cloud Engineer Exam Sample Questions (Q123-Q128):

NEW QUESTION # 123
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: D

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 # 124
Your customer wants you to create a secure website with autoscaling based on the compute instance CPU load. You want to enhance performance by storing static content in Cloud Storage. Which resources are needed to distribute the user traffic?

Answer: D

Explanation:
An external HTTP(S) load balancer is a Google-recommended solution for distributing web traffic across multiple regions and zones, and providing high availability, scalability, and security for web applications. It supports both IPv4 and IPv6 addresses, and can handle SSL/TLS termination and encryption. It also integrates with Cloud CDN, Cloud Armor, and Cloud Identity-Aware Proxy for enhanced performance and protection.
A managed instance group (MIG) can be used as a backend service for the HTTP(S) load balancer, and can automatically scale the number of VM instances based on the CPU load. A Cloud Storage bucket can also be used as a backend service for the HTTP(S) load balancer, and can serve static content such as images, videos, or HTML files. A URL map can be used to route requests to different backend services based on the path or host of the request. For example, a URL map can send requests for /static/* to the Cloud Storage bucket, and requests for /dynamic/* to the MIG. A managed SSL certificate can be used to secure the connection between the clients and the load balancer, and can be automatically provisioned and renewed by Google.
A is incorrect because an internal HTTP(S) load balancer is only visible within a VPC network, and not to the public internet. It is used for internal applications that need to communicate with other internal services.
Identity-Aware Proxy is a service that provides secure access to web applications without using a VPN. It is not a load balancer, and it does not distribute user traffic.
B is incorrect because installing HTTPS certificates on the instance is not necessary, as the HTTP(S) load balancer can handle SSL/TLS termination and encryption. It is also more complex and less secure to manage the certificates on the instance level, as they need to be updated and synchronized across multiple instances.
D is incorrect because an external network load balancer is a TCP/UDP load balancer that operates at the network layer. It is not suitable for web applications that use HTTP(S) protocols, as it does not support SSL
/TLS termination and encryption, URL maps, or Cloud Storage backends. It is also less efficient and scalable to forward the requests to the Cloud Storage from the web servers, as it adds an extra hop and latency.
:
HTTP(S) Load Balancing documentation
Setting up HTTP(S) Load Balancing with Cloud Storage
Creating and using SSL certificates
Choosing a load balancer


NEW QUESTION # 125
You have an App Engine application running in us-east1. You've noticed 90% of your traffic comes from the West Coast. You'd like to change the region. What's the best way to change the App Engine region?

Answer: B


NEW QUESTION # 126
You're attempting to set up a new budget with some alerts. Your team lead asked you to use last months spending as a reference for the budget amount. What's the best way to configure this budget?

Answer: B


NEW QUESTION # 127
You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?

Answer: A

Explanation:
Specifying conditions for alerting policies This page describes how to specify conditions for alerting policies.
The conditions for an alerting policy define what is monitored and when to trigger an alert. For example, suppose you want to define an alerting policy that emails you if the CPU utilization of a Compute Engine VM instance is above 80% for more than 3 minutes. You use the conditions dialog to specify that you want to monitor the CPU utilization of a Compute Engine VM instance, and that you want an alerting policy to trigger when that utilization is above 80% for 3 minutes.https://cloud.google.com/monitoring/alerts/ui-conditions-ga
https://cloud.google.com/monitoring/alerts/using-alerting-uihttps://cloud.google.com/monitoring/support/notifica


NEW QUESTION # 128
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