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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified - Associate Cloud Engineer |
| Exam Number: | Associate-Cloud-Engineer |
| Real Exam Qty: | 50-60 |
| Exam Price: | $125 USD |
| Related Certifications: | Professional Cloud Network Engineer Professional Cloud Architect Professional Cloud DevOps Engineer |
| Exam Format: | Multiple choice, Multiple select |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 120 minutes |
| Available Languages: | Japanese, English |
| Recommended Training: | Google Cloud Skills Boost - Associate Cloud Engineer Prep Google Cloud Training & Certification |
| Exam Registration: | Kryterion Webassessor Registration Official Certification Page |
| Sample Questions: | Google Associate-Cloud-Engineer Sample Questions |
| Exam Way: | Online proctored exam (via Kryterion Webassessor) |
| Pre Condition: | No formal prerequisites. Recommended: 6+ months hands-on experience with Google Cloud. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-engineer |
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Google Associate-Cloud-Engineer Certification Exam is an entry-level certification that can help individuals kick-start their career in cloud computing. Google Associate Cloud Engineer Exam certification is suitable for individuals who have some basic knowledge of cloud computing concepts and have experience working with GCP. Associate-Cloud-Engineer exam is ideal for IT professionals, system administrators, and developers who want to validate their skills and knowledge in using GCP. Google Associate Cloud Engineer Exam certification exam is conducted online and comprises of multiple-choice questions that assess the candidates' understanding of GCP services and their ability to use them in real-world scenarios. Passing the exam leads to the award of the Google Associate Cloud Engineer certification, which is highly valued in the IT industry.
NEW QUESTION # 350
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?
Answer: A
Explanation:
Cloud Spanner, keywords are globally, relational structure and lastly "clients from all over the world should get the exact identical state of the data" which implies strong consistency is needed.
NEW QUESTION # 351
You need to monitor resources that are distributed over different projects in Google Cloud Platform. You want to consolidate reporting under the same Stackdriver Monitoring dashboard. What should you do?
Answer: B
Explanation:
When you intially click on Monitoring(Stackdriver Monitoring) it creates a workspac(a stackdriver account) linked to the ACTIVE(CURRENT) Project from which it was clicked.
Now if you change the project and again click onto Monitoring it would create an another workspace(a stackdriver account) linked to the changed ACTIVE(CURRENT) Project, we don't want this as this would not consolidate our result into a single dashboard(workspace/stackdriver account).
If you have accidently created two diff workspaces merge them under Monitoring > Settings > Merge Workspaces > MERGE.
If we have only one workspace and two projects we can simply add other GCP Project under Monitoring > Settings > GCP Projects > Add GCP Projects.
https://cloud.google.com/monitoring/settings/multiple-projects
Nothing about groupshttps://cloud.google.com/monitoring/settings?hl=en
NEW QUESTION # 352
(You are managing an application deployed on Cloud Run. The development team has released a new version of the application. You want to deploy and redirect traffic to this new version of the application. To ensure traffic to the new version of the application is served with no startup time, you want to ensure that there are two idle instances available for incoming traffic before adjusting the traffic flow. You also want to minimize administrative overhead. What should you do?)
Answer: A
Explanation:
Let ' s analyze each option to find the one that meets the requirements of no startup time for new traffic, two idle instances, and minimal administrative overhead:
A). Unchecking " Serve this revision immediately " and using a traffic simulation tool: Unchecking " Serve this revision immediately " does prevent the new revision from receiving traffic immediately. However, manually using a traffic simulation tool adds administrative overhead. It also doesn ' t guarantee that two idle instances will be ready before traffic is shifted; you would need to monitor and adjust traffic manually based on the simulation.
B). Configuring service autoscaling and setting the minimum number of instances to 2: Service-level autoscaling applies to all revisions of the service. Setting the minimum instances at the service level would ensure at least two instances are running across all active revisions, not specifically for the new revision before traffic shift.
C). Configuring revision autoscaling for the new revision and setting the minimum number of instances to 2:
This is the correct approach. By configuring revision autoscaling specifically for the new revision and setting the minimum number of instances to 2, Cloud Run will ensure that at least two instances of the new version are running and ready to serve traffic before you redirect any traffic to it. This eliminates startup latency when you do shift traffic. It also minimizes administrative overhead as Cloud Run manages the instance scaling based on this configuration.
D). Configuring revision autoscaling for the existing revision and setting the minimum number of instances to
2: This would ensure the existing version has at least two idle instances, which doesn ' t directly address the requirement of having idle instances ready for the new version before traffic redirection.
Google Cloud Documentation References:
Cloud Run Autoscaling: https://cloud.google.com/run/docs/configuring/min-instances - This document explains how to configure minimum and maximum instances for Cloud Run services and revisions. It clarifies that you can set minimum instances at the revision level to ensure instances are always ready.
Cloud Run Traffic Management: https://cloud.google.com/run/docs/managing/traffic - This describes how to deploy new revisions and gradually shift traffic between them. Combining minimum instances on the new revision with traffic splitting allows for zero-downtime deployments with pre-warmed instances.
NEW QUESTION # 353
You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster.
Each microservice is a deployment with resource limits configured for each container in the deployment.
You've observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?
Answer: C
NEW QUESTION # 354
You need to produce a list of the enabled Google Cloud Platform APIs for a GCP project using the gcloud command line in the Cloud Shell. The project name is my-project. What should you do?
Answer: B
NEW QUESTION # 355
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