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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configuring access and security | 15% | - Managing IAM roles and permissions - Securing data and services |
| Topic 2: Setting up a cloud solution environment | 20% | - Setting up cloud projects and accounts - Managing billing and identity access |
| Topic 3: Ensuring successful operation of a cloud solution | 20% | - Monitoring and logging - Managing cloud resources |
| Topic 4: Deploying and implementing a cloud solution | 20% | - Implementing networking components - Deploying applications and services |
| Topic 5: Planning and configuring a cloud solution | 25% | - Configuring storage and database solutions - Configuring compute resources |
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NEW QUESTION # 171
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: B
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 # 172
You are migrating your company's on-premises compute resources to Google Cloud. You need to deploy batch processing jobs that run every night. The jobs require significant CPU and memory for several hours but can tolerate interruptions. You must ensure that the deployment is cost- effective.
What should you do?
Answer: D
Explanation:
Using Spot VMs on Compute Engine is the most cost-effective solution for batch processing jobs that require significant CPU and memory for several hours and can tolerate interruptions. Spot VMs are discounted instances that can be preempted by Google Cloud at any time, making them ideal for workloads that are not time-sensitive and can handle interruptions. This approach minimizes costs while meeting your performance requirements.
NEW QUESTION # 173
You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?
Answer: B
NEW QUESTION # 174
You are planning to move your company's website and a specific asynchronous background job to Google Cloud Your website contains only static HTML content The background job is started through an HTTP endpoint and generates monthly invoices for your customers. Your website needs to be available in multiple geographic locations and requires autoscaling. You want to have no costs when your workloads are not In use and follow recommended practices. What should you do?
Answer: C
Explanation:
The critical constraint for both the website and the background job is the requirement for autoscaling and no costs when not in use (scale to zero). Both workloads are suitable for containerization and HTTP invocation.
* Cloud Run is the single best platform for both use cases under these constraints. It is serverless, fully managed, and natively supports scaling to zero when a containerized service is not receiving requests, making it the most cost-effective option for sporadic workloads.
* The static website can run in a simple web server container on Cloud Run. The HTTP-triggered background job is a perfect fit for a Cloud Run service that runs, performs its work (invoice generation), and then scales down to zero.
Reference: Google Cloud Documentation - Cloud Run (Overview):
"Because Cloud Run is serverless... It scales up or down automatically, including scaling to zero to minimize your cost." Reference: Google Cloud Documentation - Cloud Run (Use cases):
"Cloud Run is suitable for... background processing (jobs, batch processing, and other non-HTTP services), and services that require scaling to zero."
NEW QUESTION # 175
You used the gcloud container clusters command to create two Google Cloud Kubernetes (GKE) clusters prod-cluster and dev-cluster.
* prod-cluster is a standard cluster.
* dev-cluster is an auto-pilot duster.
When you run the Kubect1 get nodes command, you only see the nodes from prod-cluster Which commands should you run to check the node status for dev-cluster?
Answer: B
NEW QUESTION # 176
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