Associate-Cloud-Engineer Valid Exam Questions & Associate-Cloud-Engineer Study Pdf Vce & Associate-Cloud-Engineer Latest Study Guide

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Google Associate-Cloud-Engineer Certification Exam is designed to test your knowledge and skills in managing and deploying Google Cloud Platform (GCP) solutions. Associate-Cloud-Engineer exam covers a wide range of topics, including setting up a cloud solution environment, managing storage and compute resources, configuring and deploying applications, and monitoring and managing operations.

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Google Associate Cloud Engineer certification exam is a great way for individuals to start their journey in cloud computing. Google Associate Cloud Engineer Exam certification provides a solid foundation for individuals who want to pursue further certifications and specializations in Google Cloud Platform. Associate-Cloud-Engineer exam is designed to test an individual's knowledge in various areas of cloud computing, including cloud architecture, security, networking, and operations. By passing Associate-Cloud-Engineer Exam, individuals can prove their proficiency in these areas and demonstrate their ability to use GCP services effectively.

Google Associate Cloud Engineer Exam Sample Questions (Q143-Q148):

NEW QUESTION # 143
You're working on creating a script that can extract the IP address of a Kubernetes Service. Your coworker sent you a code snippet that they had saved. Which one is the best starting point for your code?

A. kubectl get svc -o html
B. kubectl get svc -o jsonpath='{.items[*].status.loadBalancer.ingress[0].ip}'
C. kubectl get svc -o filtered- json='{.items[*].status.loadBalancer.ingress[0].ip}'
D. kubectl get svc

Answer: B

NEW QUESTION # 144
You have one GCP account running in your default region and zone and another account running in a non-default region and zone. You want to start a new Compute Engine instance in these two Google Cloud Platform accounts using the command line interface. What should you do?

A. Activate two configurations using gcloud configurations activate [NAME]. Run gcloud config list to start the Compute Engine instances.
B. Create two configurations using gcloud config configurations create [NAME]. Run gcloud configurations list to start the Compute Engine instances.
C. Activate two configurations using gcloud configurations activate [NAME]. Run gcloud configurations list to start the Compute Engine instances.
D. Create two configurations using gcloud config configurations create [NAME]. Run gcloud config configurations activate [NAME] to switch between accounts when running the commands to start the Compute Engine instances.

Answer: D

Explanation:
"Run gcloud configurations list to start the Compute Engine instances". How the heck are you expecting to "start" GCE instances doing "configuration list".
Each gcloud configuration has a 1 to 1 relationship with the region (if a region is defined). Since we have two different regions, we would need to create two separate configurations using gcloud config configurations create Ref: https://cloud.google.com/sdk/gcloud/reference/config/configurations/create Secondly, you can activate each configuration independently by running gcloud config configurations activate [NAME] Ref: https://cloud.google.com/sdk/gcloud/reference/config/configurations/activate Finally, while each configuration is active, you can run the gcloud compute instances start [NAME] command to start the instance in the configurations region.
https://cloud.google.com/sdk/gcloud/reference/compute/instances/start

NEW QUESTION # 145
You are analyzing Google Cloud Platform service costs from three separate projects. You want to use this information to create service cost estimates by service type, daily and monthly, for the next six months using standard query syntax. What should you do?

A. Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.
B. Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.
C. Export your transactions to a local file, and perform analysis with a desktop tool.
D. Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.

Answer: B

Explanation:
"...we recommend that you enable Cloud Billing data export to BigQuery at the same time that you create a Cloud Billing account. " https://cloud.google.com/billing/docs/how-to/export-data-bigquery
https://medium.com/google-cloud/analyzing-google-cloud-billing-data-with-big-query-30bae1c2aae4

NEW QUESTION # 146
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?

A. 1. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow all2. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.1.0/24)* Protocols: allow all
B. 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 all2. 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 all
C. 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:80802. 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
D. 1. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow TCP: 80802. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.1.0/24)* Protocols: allow TCP: 8080

Answer: C

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 # 147
You need to create a Compute Engine instance in a new project that doesn't exist yet. What should you do?

A. Enable the Compute Engine API in the Cloud Console. Go to the Compute Engine section of the Console to create a new instance, and look for the Create In A New Project option in the creation form.
B. Enable the Compute Engine API in the Cloud Console, use the Cloud SDK to create the instance, and then use the -pproject flag to specify a new project.
C. Using the Cloud SDK, create the new instance, and use the -pproject flag to specify the new project.
Answer yes when prompted by Cloud SDK to enable the Compute Engine API.
D. Using the Cloud SDK, create a new project, enable the Compute Engine API in that project, and then create the instance specifying your new project.

Answer: D

Explanation:
Before you begin:
1. In the Cloud Console, on the project selector page, select or create a Cloud project.
2. Make sure that billing is enabled for your Google Cloud project. Learn how to confirm billing is enabled for your project.
To use the gcloud command-line tool for this quickstart, you must first install and initialize the Cloud SDK:
1. Download and install the Cloud SDK using the instructions given on Installing Google Cloud SDK.
2. Initialize the SDK using the instructions given on Initializing Cloud SDK.
To use gcloud in Cloud Shell for this quickstart, first activate Cloud Shell using the instructions given on Starting Cloud Shell.
https://cloud.google.com/ai-platform/deep-learning-vm/docs/quickstart-cli#before-you-begin

NEW QUESTION # 148
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