Free Google Cloud Architect Professional-Cloud-Architect Exam Practice Test

For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.What change in the on-premises architecture should you make?

• Replace RabbitMQ with Google Pub/Sub.
• Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.
• Resize compute resources to match predefined Compute Engine machine types.
• Containerize the micro services and host them in Google Kubernetes Engine.

Your company is building a new architecture to support its data-centric business focus. You are responsible for setting up the network. Your company's mobile and web-facing applications will be deployed on-premises, and all data analysis will be conducted in GCP. The plan is to process and load 7 years of archived .csv files totaling 900 TB of data and then continue loading 10 TB of data daily. You currently have an existing 100-MB internet connection.What actions will meet your company's needs?

• Compress and upload both achieved files and files uploaded daily using the qsutil --m option.
• Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish a connection with Google using a Dedicated Interconnect or Direct Peering connection and use it to upload files daily.
• Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish one Cloud VPN Tunnel to VPC networks over the public internet, and compares and upload files daily using the gsutil --m option.
• Lease a Transfer Appliance, upload archived files to it, and send it to Google to transfer archived data to Cloud Storage. Establish a Cloud VPN Tunnel to VPC networks over the public internet, and compress and upload files daily.

Your development teams release new versions of games running on Google Kubernetes Engine (GKE) daily.You want to create service level indicators (SLIs) to evaluate the quality of the new versions from the user'sperspective. What should you do?

• Create CPU Utilization and Request Latency as service level indicators.
• Create GKE CPU Utilization and Memory Utilization as service level indicators.
• Create Request Latency and Error Rate as service level indicators.
• Create Server Uptime and Error Rate as service level indicators.

Your company has a Google Cloud project that uses BigQuery for data warehousing on a pay-per-use basis. You want to monitor queries in real time to discover the most costly queries and which users spend the most. What should you do?

• 1. Create a Cloud Logging sink to export BigQuery data access logs to Cloud Storage. 2. Develop a Dataflow pipeline to compute the cost of queries split by users.
• 1. Create a Cloud Logging sink to export BigQuery data access logs to BigQuery. 2. Perform a BigQuery query on the generated table to extract the information you need.
• 1. Activate billing export into BigQuery. 2. Perform a BigQuery query on the billing table to extract the information you need.
• 1. In the BigQuery dataset that contains all the tables to be queried, add a label for each user that can launch a query. 2. Open the Billing page of the project. 3. Select Reports. 4. Select BigQuery as the product and filter by the user you want to check.

You need to reduce the number of unplanned rollbacks of erroneous production deployments in your company's web hosting platform. Improvement to the QA/Test processes accomplished an 80% reduction. Which additional two approaches can you take to further reduce the rollbacks? Choose 2 answers

• Introduce a green-blue deployment model.
• Replace the QA environment with canary releases.
• Fragment the monolithic platform into microservices.
• Reduce the platform's dependency on relational database systems.
• Replace the platform's relational database systems with a NoSQL database.

You need to upgrade the EHR connection to comply with their requirements. The new connection design must support business-critical needs and meet the same network and security policy requirements. What should you do?

• Add a new Dedicated Interconnect connection.
• Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G.
• Add three new Cloud VPN connections.
• Add a new Carrier Peering connection.

You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely. Where should you store the credentials?

• In the source code
• In an environment variable
• In a secret management system
• In a config file that has restricted access through ACLs

For this question, refer to the TerramEarth case studyYou analyzed TerramEarth's business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company's processes should you recommend?

• Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.
• Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.
• Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.
• Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

• Use a persistent disk for each instance.
• Use a regional persistent disk for each instance.
• Create a Cloud Filestore instance and mount it in each instance.
• Create a Cloud Storage bucket and mount it in each instance using gcsfuse.

You are migrating third-party applications from optimized on-premises virtual machines to Google Cloud. You are unsure about the optimum CPU and memory options. The application have a consistent usage patterns across multiple weeks. You want to optimize resource usage for the lowest cost. What should you do?

• Create a Compute engine instance with CPU and Memory options similar to your application's current on-premises virtual machine. Install the cloud monitoring agent, and deploy the third party application. Run a load with normal traffic levels on third party application and follow the Rightsizing Recommendations in the Cloud Console
• Create an App Engine flexible environment, and deploy the third party application using a Docker file and a custom runtime. Set CPU and memory options similar to your application's current on-premises virtual machine in the app.yaml file.
• Create an instance template with the smallest available machine type, and use an image of the third party application taken from the current on-premises virtual machine. Create a managed instance group that uses average CPU to autoscale the number of instances in the group. Modify the average CPU utilization threshold to optimize the number of instances running.
• Create multiple Compute Engine instances with varying CPU and memory options. Install the cloud monitoring agent and deploy the third-party application on each of them. Run a load test with high traffic levels on the application and use the results to determine the optimal settings.