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Career prospects

The professionals with the Google Associate Cloud Engineer certification can explore different job roles. Some of these include a Cloud Operations Engineer, a Cloud Services Engineer, a Cloud Solutions Systems Engineer, a Cloud Network Engineer, and a Software Engineer. The average salary for these certified specialists is $74,000 per year. The actual salary depends on your position and level of experience.

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The Google Associate-Cloud-Engineer exam consists of multiple-choice questions that assess a candidate's knowledge and understanding of various topics such as deploying applications, configuring cloud storage, managing virtual machines, and networking. Associate-Cloud-Engineer exam also evaluates a candidate's ability to monitor and debug cloud solutions, as well as their proficiency in using Google Cloud services such as Cloud SQL, Cloud Storage, and Cloud Functions.

Google Associate-Cloud-Engineer Exam is a 2-hour proctored exam that consists of 50 multiple-choice and multiple-select questions. Associate-Cloud-Engineer exam can be taken in person at a testing center or online from the comfort of your home or office. Candidates are required to score at least 70% to pass the exam and earn their certification.

Google Associate Cloud Engineer Exam Sample Questions (Q96-Q101):

NEW QUESTION # 96
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?

A. An internal HTTP(S) load balancer together with Identity-Aware Proxy to allow only HTTPS traffic.
B. An external HTTP(S) load balancer with a managed SSL certificate to distribute the load and a URL map to target the requests for the static content to the Cloud Storage backend.
C. An external network load balancer pointing to the backend instances to distribute the load evenly. The web servers will forward the request to the Cloud Storage as needed.
D. An external HTTP(S) load balancer to distribute the load and a URL map to target the requests for the static content to the Cloud Storage backend. Install the HTTPS certificates on the instance.

Answer: B

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 # 97
You are using Google Kubernetes Engine with autoscaling enabled to host a new application. You want to expose this new application to the public, using HTTPS on a public IP address. What should you do?

A. Create a Kubernetes Service of type ClusterIP for your application. Configure the public DNS name of your application using the IP of this Service.
B. Create a Kubernetes Service of type NodePort to expose the application on port 443 of each node of the Kubernetes cluster. Configure the public DNS name of your application with the IP of every node of the cluster to achieve load-balancing.
C. Create a HAProxy pod in the cluster to load-balance the traffic to all the pods of the application. Forward the public traffic to HAProxy with an iptable rule. Configure the DNS name of your application using the public IP of the node HAProxy is running on.
D. Create a Kubernetes Service of type NodePort for your application, and a Kubernetes Ingress to expose this Service via a Cloud Load Balancer.

Answer: D

NEW QUESTION # 98
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. In Cloud Logging create a filter for your Data Studio report
B. Use the BigQuery interface to review the nightly Job and look for any errors
C. Use Cloud Debugger to find out why the data was not refreshed correctly
D. Review the Error Reporting page in the Cloud Console to find 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 # 99
For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances.
You want to minimize cost. What should you do?

A. 1. In Stackdriver Logging, create a filter to view only Compute Engine logs.
2. Click Create Export.
3. Choose BigQuery as Sink Service, and the platform-logsdataset as Sink Destination.
B. 1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logsas a sink.
2. Create a Cloud Function that is triggered by messages in the logstopic.
3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logsdataset.
C. 1. Create a Cloud Function that has the BigQuery User role on the platform-logsdataset.
2. Configure this Cloud Function to create a BigQuery Job that executes this query:
INSERT INTO dataset.platform-logs (timestamp, log)
SELECT timestamp, log FROM compute.logs
WHERE timestamp > DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)
3. Use Cloud Scheduler to trigger this Cloud Function once a day.
D. 1. Give the BigQuery Data Editor role on the platform-logsdataset to the service accounts used by your instances.
2. Update your instances' metadata to add the following value: logs-destination: bq://platform- logs.

Answer: A

NEW QUESTION # 100
You have several users who need access to some very specific Google Cloud functionality. You'd like to follow the principle of least privilege. What's the best way to ensure these users can list Cloud Storage buckets, list BigQuery jobs, and list compute disks?

A. Create a custom role for this job role, add the required permissions, and add the users to the role.
B. Add the users to a group, apply the Cloud Storage Bucket Viewer, BigQuery Job User, and Compute User predefined roles.
C. Add the users to the viewer role.
D. Use the Cloud Storage Bucket Viewer, BigQuery Job User, and Compute User predefined roles.

Answer: A

NEW QUESTION # 101
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Customizable Google Associate-Cloud-Engineer Practice Exam Software

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Career prospects

Associate-Cloud-Engineer exam collection guarantee Associate-Cloud-Engineer Google Associate Cloud Engineer Exam exam success

Google Associate Cloud Engineer Exam Sample Questions (Q96-Q101):

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