Professional-Cloud-Architect Exam Dumps – Our Features

As part of implementing their disaster recovery plan, your company is trying to replicate their productionMySQL database from their private data center to their GCP project using a Google Cloud VPN connection.They are experiencing latency issues and a small amount of packet loss that is disrupting the replication. What should they do?

• Configure their replication to use UDP.
• Configure a Google Cloud Dedicated Interconnect.
• Restore their database daily using Google Cloud SQL.
• Add additional VPN connections and load balance them.
• Send the replicated transaction to Google Cloud Pub/Sub.

You need to deploy an application on Google Cloud that must run on a Debian Linux environment. The application requires extensive configuration in order to operate correctly. You want to ensure that you can install Debian distribution updates with minimal manual intervention whenever they become available. What should you do?

• Create a Compute Engine instance template using the most recent Debian image. Create an instance from this template, and install and configure the application as part of the startup script. Repeat this process whenever a new Google-managed Debian image becomes available.
• Create a Debian-based Compute Engine instance, install and configure the application, and use OS patch management to install available updates.
• Create an instance with the latest available Debian image. Connect to the instance via SSH, and install and configure the application on the instance. Repeat this process whenever a new Google-managed Debian image becomes available.
• Create a Docker container with Debian as the base image. Install and configure the application as part of the Docker image creation process. Host the container on Google Kubernetes Engine and restart the container whenever a new update is available.

For this question, refer to the Dress4Win case study.As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The customer has exclusive control over who may view these images. Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in. Which configuration should Dress4Win use?

• Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that maps each customer's ID and their image files.
• Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in Cloud Storage that contains the customer's unique ID.
• Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring privacy of images.
• Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's ID to their image files.

Your customer support tool logs all email and chat conversations to Cloud Bigtable for retention and analysis.What is the recommended approach for sanitizing this data of personally identifiable information or paymentcard information before initial storage?

• Hash all data using SHA256
• Encrypt all data using elliptic curve cryptography
• De-identify the data with the Cloud Data Loss Prevention API
• Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers

You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

• Google BigQuery
• Google Cloud SQL
• Google Cloud Bigtable
• Google Cloud Storage

Your company has an application running on multiple Compute Engine instances. You need to ensure that the application can communicate with an on-premises service that requires high throughput via internal IPs, while minimizing latency. What should you do?

• Use OpenVPN to configure a VPN tunnel between the on-premises environment and Google Cloud.
• Configure a direct peering connection between the on-premises environment and Google Cloud.
• Use Cloud VPN to configure a VPN tunnel between the on-premises environment and Google Cloud.
• Configure a Cloud Dedicated Interconnect connection between the on-premises environment and Google Cloud.

For this question, refer to the Mountkirk Games case study.Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:* Services are deployed redundantly across multiple regions in the US and Europe.* Only frontend services are exposed on the public internet.* They can provide a single frontend IP for their fleet of services.* Deployment artifacts are immutable.Which set of products should they use?

• Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
• Google Cloud Storage, Google App Engine, Google Network Load Balancer
• Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
• Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.What should you do?

• Configure an organizational policy which constrains where resources can be deployed.
• Configure IAM conditions to limit what resources can be configured.
• Configure the quotas for resources in the regions not being used to 0.
• Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other regions.

For this question, refer to the TerramEarth case study. You are building a microservice-based application for TerramEarth. The application is based on Docker containers. You want to follow Google-recommended practices to build the application continuously and store the build artifacts. What should you do?

• 1. Configure a trigger in Cloud Build for new source changes. 2. Invoke Cloud Build to build one container image, and tag the image with the label 'latest.' 3. Push the image to the Artifact Registry.
• 1. Configure a trigger in Cloud Build for new source changes. 2. Invoke Cloud Build to build container images for each microservice, and tag them using the code commit hash. 3. Push the images to the Artifact Registry.
• 1 Create a Scheduler job to check the repo every minute. 2. For any new change, invoke Cloud Build to build container images for the microservices. 3. Tag the images using the current timestamp, and push them to the Artifact Registry.
• 1. Configure a trigger in Cloud Build for new source changes. 2. The trigger invokes build jobs and build container images for the microservices. 3. Tag the images with a version number, and push them to Cloud Storage.

For this question, refer to the Mountkirk Games case study.Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process?

• Create a scalable environment in GCP for simulating production load.
• Use the existing infrastructure to test the GCP-based backend at scale.
• Build stress tests into each component of your application using resources internal to GCP to simulate load.
• Create a set of static environments in GCP to test different levels of load --- for example, high, medium, and low.