Associate-Cloud-Engineer Exam Dumps - Google Cloud Certified - Associate Cloud Engineer

Searching for workable clues to ace the Google Associate-Cloud-Engineer Exam? You’re on the right place! ExamCert has realistic, trusted and authentic exam prep tools to help you achieve your desired credential. ExamCert’s Associate-Cloud-Engineer PDF Study Guide, Testing Engine and Exam Dumps follow a reliable exam preparation strategy, providing you the most relevant and updated study material that is crafted in an easy to learn format of questions and answers. ExamCert’s study tools aim at simplifying all complex and confusing concepts of the exam and introduce you to the real exam scenario and practice it with the help of its testing engine and real exam dumps

Go to page:

<< First
Prev
1
2
3
4
5
6
7
8
9
10
Next
Last >>

Question # 4

You have an application that runs on Compute Engine VM instances in a custom Virtual Private Cloud (VPC). Your company ' s security policies only allow the use to internal IP addresses on VM instances and do not let VM instances connect to the internet. You need to ensure that the application can access a file hosted in a Cloud Storage bucket within your project. What should you do?

Enable Private Service Access on the Cloud Storage Bucket.

Add slorage.googleapis.com to the list of restricted services in a VPC Service Controls perimeter and add your project to the list to protected projects.

Enable Private Google Access on the subnet within the custom VPC.

Deploy a Cloud NAT instance and route the traffic to the dedicated IP address of the Cloud Storage bucket.

Full Access

Question # 5

You are developing a financial trading application that will be used globally. Data is stored and queried using a relational structure, and clients from all over the world should get the exact identical state of the data. The application will be deployed in multiple regions to provide the lowest latency to end users. You need to select a storage option for the application data while minimizing latency. What should you do?

Use Cloud Bigtable for data storage.

Use Cloud SQL for data storage.

Use Cloud Spanner for data storage.

Use Firestore for data storage.

Full Access

Question # 6

Your company is running a three-tier web application on virtual machines that use a MySQL database. You need to create an estimated total cost of cloud infrastructure to run this application on Google Cloud instances and Cloud SQL. What should you do?

Use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use. Use similar size instances for the web server, and use your current on-premises machines as a comparison for Cloud SQL.

Implement a similar architecture on Google Cloud, and run a reasonable load test on a smaller scale. Check the billing information, and calculate the estimated costs based on the real load your system usually handles.

Use the Google Cloud Pricing Calculator and select the Cloud Operations template to define your web application with as much detail as possible.

Create a Google spreadsheet with multiple Google Cloud resource combinations. On a separate sheet, import the current Google Cloud prices and use these prices for the calculations within formulas.

Full Access

Question # 7

Your company is closely monitoring their cloud spend. You need to allow different teams to monitor their Google Cloud costs. You must ensure that team members receive notifications when their cloud spend reaches certain thresholds and give team members the ability to create dashboards for additional insights with detailed billing data. You want to follow Google-recommended practices and minimize engineering costs. What should you do?

Set up alerts for each team based on required thresholds. Set up billing exports to BigQuery. Grant team members access to BigQuery.

Set up alerts for each team based on required thresholds. Create a shell script to read data from the Cloud Billing API, and push the results to BigQuery. Grant team members access to BigQuery.

Deploy Grafana to Compute Engine. Create a dashboard for each team that uses the data from the Cloud Billing API. Ask each team to create their own alerts in Cloud Monitoring.

Deploy Grafana to Compute Engine. Create a dashboard for each team that uses the data from the Cloud Billing Budget API. Ask each team to create their own alerts in Grafana.

Full Access

Question # 8

You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.2. Call your application on Cloud Run from the Cloud Function for every message.

1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.2. Create a Cloud Pub/Sub subscription for that topic.3. Make your application pull messages from that subscription.

1. Create a service account.2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.

1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.2. Create a Cloud Pub/Sub subscription for that topic.3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.

Full Access