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Career Path

After acing the certification test, the candidates will possess all the knowledge and skills needed to function in a role of an Associate Cloud Engineer. The responsibilities of these professionals include the deployment of apps, monitoring of operations, and management of enterprise solutions. The successful applicants will be capable of using Google Cloud Console as well as the command-line interface to fulfill common platform-based tasks to maintain deployed solutions that leverage self-managed or Google-managed services on Google Cloud. Some of the other job roles that you can take up after getting certified include the following: an Associate DevOps Engineer, an Associate Software Engineer, an Associate Cloud Migration Engineer, an Associate Consulting Engineer, an Associate Cloud Security Engineer, an Associate DevOps Network Engineer, and an Associate Cloud Operations Engineer. The average salary associated with these positions is $108,752 per year. However, the specialists with some level of experience in the domain can earn as much as $177,000 per annum.

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Quiz 2024 Latest Google Associate-Cloud-Engineer: Google Associate Cloud Engineer Exam Braindumps Torrent

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Google Associate Cloud Engineer Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
You want to send and consume Cloud Pub/Sub messages from your App Engine application. The Cloud Pub/Sub API is currently disabled. You will use a service account to authenticate your application to the API. You want to make sure your application can use Cloud Pub/Sub. What should you do?

A. Use Deployment Manager to deploy your application.
Rely on the automatic enablement of all APIs used by the application being deployed.
B. Rely on the automatic enablement of the Cloud Pub/Sub API when the Service Account accesses it.
C. Enable the Cloud Pub/Sub API in the API Library on the GCP Console.
D. Grant the App Engine Default service account the role of Cloud Pub/Sub Admin.
Have your application enable the API on the first connection to Cloud Pub/Sub.

Answer: C

NEW QUESTION # 52
You are deploying an application to App Engine. You want the number of instances to scale based on request rate. You need at least 3 unoccupied instances at all times. Which scaling type should you use?

A. Manual Scaling with 3 instances.
B. Basic Scaling with min_instances set to 3.
C. Basic Scaling with max_instances set to 3.
D. Automatic Scaling with min_idle_instances set to 3.

Answer: D

Explanation:
Reference:
https://cloud.google.com/appengine/docs/standard/go/config/appref
"App Engine calculates the number of instances necessary to serve your current application traffic based on scaling settings such as target_cpu_utilization and target_throughput_utilization. Setting min_idle_instances specifies the number of instances to run in addition to this calculated number. For example, if App Engine calculates that 5 instances are necessary to serve traffic, and min_idle_instances is set to 2, App Engine will run 7 instances (5, calculated based on traffic, plus 2 additional per min_idle_instances)." Automatic scaling creates dynamic instances based on request rate, response latencies, and other application metrics. However, if you specify the number of minimum idle instances, that specified number of instances run as resident instances while any additional instances are dynamic.
Ref: https://cloud.google.com/appengine/docs/standard/python/how-instances-are-managed

NEW QUESTION # 53
You're attempting to set up a File based Billing Export. Which of the following components are required?

A. A BigQuery dataset.
B. A Cloud Storage bucket.
C. A report prefix.
D. A Budget and at least one alert.

Answer: C

NEW QUESTION # 54
You need to deploy an application, which is packaged in a container image, in a new project. The application exposes an HTTP endpoint and receives very few requests per day. You want to minimize costs. What should you do?

A. Deploy the container on Google Kubernetes Engine, with cluster autoscaling and horizontal pod autoscaling enabled.
B. Deploy the container on Cloud Run on GKE.
C. Deploy the container on Cloud Run.
D. Deploy the container on App Engine Flexible.

Answer: C

Explanation:
Cloud Run takes any container images and pairs great with the container ecosystem: Cloud Build, Artifact Registry, Docker. ... No infrastructure to manage: once deployed, Cloud Run manages your services so you can sleep well. Fast autoscaling. Cloud Run automatically scales up or down from zero to N depending on traffic.
https://cloud.google.com/run

NEW QUESTION # 55
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?

A. 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3}) %
2. In Stackdriver Monitoring, create an Alerting Policy based on this metric.
3. Configure your email address in the notification channel.
B. 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.
2. Create an Alerting Policy in Stackdriver that uses the threshold as a trigger condition.
3. Configure your email address in the notification channel.
C. 1. Create a Stackdriver Workspace, and associate your GCP project with it.
2. Write a script that monitors the CPU usage and sends it as a custom metric to Stackdriver.
3. Create an uptime check for the instance in Stackdriver.
D. 1. Create a consumer Gmail account.
2. Write a script that monitors the CPU usage.
3. When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.com on port 25 as SMTP server.

Answer: B

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-ui https://cloud.google.com/monitoring/support/notification-options

NEW QUESTION # 56
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