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| Section | Weight | Objectives |
|---|---|---|
| Planning and configuring a cloud solution | 25% | - Configuring compute resources - Configuring storage and database solutions |
| Setting up a cloud solution environment | 20% | - Managing billing and identity access - Setting up cloud projects and accounts |
| Deploying and implementing a cloud solution | 20% | - Implementing networking components - Deploying applications and services |
| Ensuring successful operation of a cloud solution | 20% | - Monitoring and logging - Managing cloud resources |
| Configuring access and security | 15% | - Managing IAM roles and permissions - Securing data and services |
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NEW QUESTION # 289
You want to configure 10 Compute Engine instances for availability when maintenance occurs. Your requirements state that these instances should attempt to automatically restart if they crash. Also, the instances should be highly available including during system maintenance. What should you do?
Answer: C
NEW QUESTION # 290
You are a project owner and need your co-worker to deploy a new version of your application to App Engine. You want to follow Google's recommended practices. Which IAM roles should you grant your co-worker?
Answer: A
Explanation:
A is not correct because this access is too wide, and Google recommends least-privilege. Also Google recommends predefined roles instead of primitive roles like Project Editor.
B is not correct because although it gives write access to module-level and version-level settings, users cannot deploy a new version.
C is correct because this gives write access only to create a new version.
D is not correct because this is read-only access.
https://cloud.google.com/iam/docs/understanding-roles
NEW QUESTION # 291
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?
Answer: A
Explanation:
The Google Cloud Pricing Calculator is a tool that allows you to estimate the cost of using Google Cloud products and services based on your specific needs and preferences. You can add various Google Cloud resources to your estimate, such as Compute Engine instances, Cloud SQL instances, network services, storage options, and more. You can also adjust the parameters of each resource, such as the region, zone, machine type, disk size, network egress, and usage hours. The Google Cloud Pricing Calculator will show you the monthly and hourly cost of each resource, as well as the total cost of your estimate. You can also save, share, or export your estimate for future reference.
To create an estimated total cost of cloud infrastructure to run your three-tier web application on Google Cloud instances and Cloud SQL, you should use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use. You should use similar size instances for the web server, such as n1-standard-1 or n1-standard-2, depending on your application's CPU and memory requirements. You should also use your current on-premises machines as a comparison for Cloud SQL, such as MySQL 5.7 or MySQL 8.0, depending on your database version. You should also consider the network and storage costs associated with your application, such as the network egress, persistent disk, and Cloud Storage.
The other options are not correct because they either do not use the Google Cloud Pricing Calculator, or they do not provide a reliable or accurate estimate of the cloud infrastructure cost. Option B is not correct because creating a Google spreadsheet with multiple Google Cloud resource combinations is a manual and tedious process that may not reflect the current Google Cloud prices or discounts. Option C is not correct because implementing a similar architecture on Google Cloud, and running a reasonable load test on a smaller scale, is a time-consuming and costly process that may not represent the actual load or performance of your application. Option D is not correct because using the Google Cloud Pricing Calculator and selecting the Cloud Operations template will not define your web application with as much detail as possible, as the Cloud Operations template is designed for estimating the cost of monitoring and logging services, not the compute, database, network, and storage services.
Reference:
Google Cloud Pricing Calculator
Compute Engine pricing
Cloud SQL pricing
NEW QUESTION # 292
You are deploying a production application on Compute Engine. You want to prevent anyone from accidentally destroying the instance by clicking the wrong button. What should you do?
Answer: A
Explanation:
Preventing Accidental VM Deletion
This document describes how to protect specific VM instances from deletion by setting the deletionProtection property on an Instance resource. To learn more about VM instances, read the Instances documentation.
https://cloud.google.com/compute/docs/instances/preventing-accidental-vm-deletion
NEW QUESTION # 293
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:
What is the most likely cause?
Answer: A
Explanation:
The pending Pods resource requests are too large to fit on a single node of the cluster. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod. is the right answer.
When you have a deployment with some pods in running and other pods in the pending state, more often than not it is a problem with resources on the nodes. Heres a sample output of this use case. We see that the problem is with insufficient CPU on the Kubernetes nodes so we have to either enable auto-scaling or manually scale up the nodes.
NEW QUESTION # 294
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