Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance.How should you configure the storage?

Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.

Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.

Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.

Use gcsfise to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump.

Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage

You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable.Which three requirements should they include? Choose 3 answers.

Ensure that the load tests validate the performance of Cloud Bigtable

Instrument the production services to record every transaction for replay by the load-testing tool

Instrument the load-testing tool and the target services with detailed logging and metrics collection

Ensure that the load tests validate the performance of Cloud Bigtable

Create a separate Google Cloud project to use for the load-testing environment

Schedule the load-testing tool to regularly run against the production environment

Ensure all third-party systems your services use is capable of handling high load

Instrument the production services to record every transaction for replay by the load-testing tool

Instrument the load-testing tool and the target services with detailed logging and metrics collection

Your company places a high value on being responsive and meeting customer needs quickly. Their primary business objectives are release speed and agility. You want to reduce the chance of security errors being accidentally introduced.Which two actions can you take? Choose 2 answers.

Use source code security analyzers as part of the CI/CD pipeline

Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline

Ensure every code check-in is peer reviewed by a security SME

Use source code security analyzers as part of the CI/CD pipeline

Ensure you have stubs to unit test all interfaces between components

Enable code signing and a trusted binary repository integrated with your CI/CD pipeline

Run a vulnerability security scanner as part of your continuous-integration /continuous-delivery (CI/CD) pipeline

You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes.What should you do?

Update the existing Kubernetes Engine cluster with the following command:gcloud alpha container clustersupdate mycluster - -enable-autoscaling - -min-nodes=1 - -max-nodes=10

Add additional nodes to your Kubernetes Engine cluster using the following command:gcloud container clusters resizeCLUSTER_Name – -size 10

Add a tag to the instances in the cluster with the following command:gcloud compute instances add-tagsINSTANCE - -tags enable-autoscaling max-nodes-10

Update the existing Kubernetes Engine cluster with the following command:gcloud alpha container clustersupdate mycluster - -enable-autoscaling - -min-nodes=1 - -max-nodes=10

Create a new Kubernetes Engine cluster with the following command:gcloud alpha container clusterscreate mycluster - -enable-autoscaling - -min-nodes=1 - -max-nodes=10and redeploy your application

Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 clickthrough per day. The link leads to a simple website that explains the promotion and collects user information and preferences.Which infrastructure should you recommend? Choose 2 answers.

Use Google App Engine to serve the website and Google Cloud Datastore to store user data.

Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.

Use Google App Engine to serve the website and Google Cloud Datastore to store user data.

Use a Google Container Engine cluster to serve the website and store data to persistent disk.

Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.

Use a single Compute Engine virtual machine (VM) to host a web server, backend by Google Cloud SQL.

Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and autoscaling.Which two compute products should you choose? Choose 2 answers.

Google Kubernetes Engine with containers

Google App Engine Standard Environment

Google Kubernetes Engine with containers

Google App Engine Standard Environment

Compute Engine with custom instance types

Compute Engine with managed instance groups

One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data.How can you design your logging system to verify authenticity of your logs?

Digitally sign each timestamp and log entry and store the signature

Write the log concurrently in the cloud and on premises

Use a SQL database and limit who can modify the log table

Digitally sign each timestamp and log entry and store the signature

Create a JSON dump of each log entry and store it in Google Cloud Storage

Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs.What should they do?

Use separate backend pools for each API path behind the load balancer

Configure a new load balancer for the new version of the API

Reconfigure old clients to use a new endpoint for the new API

Have the old API forward traffic to the new API based on the path

Use separate backend pools for each API path behind the load balancer

Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.How should you store the data to optimize it for ease of analysis?

Insert data into Google Cloud SQL

Put flat files into Google Cloud Storage

Stream data into Google Cloud Datastore

The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud.Which three practices should you recommend? Choose 3 answers.

Port the application code to run on Google App Engine

Select an automation framework to reliably provision the cloud infrastructure

Deploy a continuous integration tool with automated testing in a staging environment

Port the application code to run on Google App Engine

Integrate Cloud Dataflow into the application to capture real-time metrics

Instrument the application with a monitoring tool like Stackdriver Debugger

Select an automation framework to reliably provision the cloud infrastructure

Deploy a continuous integration tool with automated testing in a staging environment

Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable

A news feed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed.What is the most likely cause of this problem?

The session variable is local to just a single instance

The session variable is being overwritten in Cloud Datastore

The URL of the API needs to be modified to prevent caching

The HTTP Expires header needs to be set to -1 stop caching

An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a better tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs.What should you do?

Help them define their requirements and assess viable logging tools

Direct them to download and install the Google StackDriver logging agent

Send them a list of online resources about logging best practices

Help them define their requirements and assess viable logging tools

Help them upgrade their current tool to take advantage of any new features

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

Fragment the monolithic platform into microservices

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

To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/ stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.Which two steps should you take? Choose 2 answers.

Use the - -no-auto-delete flag on all persistent disks and stop the VM

Use Google BigQuery billing export and labels to associate cost to groups

Use the - -no-auto-delete flag on all persistent disks and stop the VM

Use the - -auto-delete flag on all persistent disks and terminate the VM

Apply VM CPU utilization label and include it in the BigQuery billing export

Use Google BigQuery billing export and labels to associate cost to groups

Store all state into local SSD, snapshot the persistent disks, and terminate the VM

Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM

You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address. You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly.What should you do?

Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.

Ensure that a firewall rules exists to allow source traffic on HTTP/HTTPS to reach the load balancer.

Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.

Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.

Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.

You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect to BigQuery.What should you do to fix the script?

Run your script on a new virtual machine with the BigQuery access scope enabled

Install the latest BigQuery API client library for Python

Run your script on a new virtual machine with the BigQuery access scope enabled

Create a new service account with BigQuery access and execute your script with that user

Install the bq component for gcloud with the command gcloud components install bq.

Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords.What authentication strategy should they use?

Provision users in Google using the Google Cloud Directory Sync tool

Use G Suite Password Sync to replicate passwords into Google

Federate authentication via SAML 2.0 to the existing Identity Provider

Provision users in Google using the Google Cloud Directory Sync tool

Ask users to set their Google password to match their corporate password

Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in.Which technology should they use for this?

Google Container Engine with Bigtable

Google Compute Engine with Google BigQuery

Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update.What strategy should you take?

Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment

Work with your ISP to diagnose the problem

Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application

Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment

Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and Logging to diagnose the problem

A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space.How can you remediate the problem with the least amount of downtime?

In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.

Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine

In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux

In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk

In the Cloud Platform Console, create a snapshot of the persistent disk restore the snapshot to a new larger disk, unmount the old disk, mount the new disk and restart the database service

Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used.How should you design your architecture?

Create a tokenizer service and store only tokenized data

Create separate projects that only process credit card data

Create separate subnetworks and isolate the components that process credit card data

Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data

Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor

You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend.What should you do?

Write a lifecycle management rule in JSON and push it to the bucket with gsutil

Write a lifecycle management rule in XML and push it to the bucket with gsutil

Write a lifecycle management rule in JSON and push it to the bucket with gsutil

Schedule a cron script using gsutil ls -lr gs://backups/** to find and remove items older than 90 days

Schedule a cron script using gsutil ls -l gs://backups/** to find and remove items older than 90 days and schedule it with cron

The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD persistent disk.What should they change to get better performance from this system?

Dynamically resize the SSD persistent disk to 500 GB

Increase the virtual machine's memory to 64 GB

Create a new virtual machine running PostgreSQL

Dynamically resize the SSD persistent disk to 500 GB

Migrate their performance metrics warehouse to BigQuery

Modify all of their batch jobs to use bulk inserts into the database

Your company's user-feedback portal comprises a standard LAMP stack replicated across two zones. It is deployed in the us-central1 region and uses autoscaled managed instance groups on all layers, except the database. Currently, only a small group of select customers have access to the portal. The portal meets a 99,99% availability SLA under these conditions. However next quarter, your company will be making the portal available to all users, including unauthenticated users. You need to develop a resiliency testing strategy to ensure the system maintains the SLA once they introduce additional user load.What should you do?

Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones

Capture existing users input, and replay captured user load until autoscale is triggered on all layers. At the same time, terminate all resources in one of the zones

Create synthetic random user input, replay synthetic load until autoscale logic is triggered on at least one layer, and introduce "chaos" to the system by terminating random resources on both zones

Expose the new system to a larger group of users, and increase group size each day until autoscale logic is triggered on all layers. At the same time, terminate random resources on both zones

Capture existing users input, and replay captured user load until resource utilization crosses 80%. Also, derive estimated number of users based on existing user's usage of the app, and deploy enough resources to handle 200%ofexpected load

One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long. You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.Which two actions should you take? Choose 2 answers.

Use a slimmed-down base image like Alpine Linux

Copy the source after he package dependencies (Python and pip) are installed

Remove Python after running pip

Remove dependencies from requirements.txt

Use a slimmed-down base image like Alpine Linux

Use larger machine types for your Google Container Engine node pools

Copy the source after he package dependencies (Python and pip) are installed

Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future.What should you do?

Deploy changes to a small subset of users before rolling out to production

Deploy fewer changes to production

Deploy smaller changes to production

Increase the load on your test and staging environments

Deploy changes to a small subset of users before rolling out to production

A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases.What should you do?

Instrument your application with Stackdriver Trace in order to break down the request latencies at each microservice

Set timeouts on your application so that you can fail requests faster

Send custom metrics for each of your requests to Stackdriver Monitoring

Use Stackdriver Monitoring to look for insights that show when your API latencies are high

Instrument your application with Stackdriver Trace in order to break down the request latencies at each microservice

During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future.What should you do?

Implement routinely scheduled failovers of your databases

Choose larger instances for your database

Create snapshots of your database more regularly

Implement routinely scheduled failovers of your databases

Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings.Which approach should you use?

Configure Stackdriver Monitoring for all Projects, and export to BigQuery

Grant the security team access to the logs in each Project

Configure Stackdriver Monitoring for all Projects, and export to BigQuery

Configure Stackdriver Monitoring for all Projects with the default retention policies

Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage

Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication.Which networking approach should you use?

Google Cloud Dedicated Interconnect

Google Cloud VPN connected to the data center network

A NAT and TLS translation gateway installed on-premises

A Google Compute Engine instance with a VPN server installed connected to the data center network

Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process.What should you do?

Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor

Create custom Google Stackdriver alerts and send them to the auditor

Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor

Use cloud functions to transfer log entries to Google Cloud SQL and use ACLs and views to limit an auditor's view

Enable Google Cloud Storage (GCS) log export to audit logs into a GCS bucket and delegate access to the bucket

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 a config file that has restricted access through ACLs

A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager.What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers.

Cloud Deployment Manager APIs could be deprecated in the future

Cloud Deployment Manager only supports automation of Google Cloud resources

Cloud Deployment Manager uses Python

Cloud Deployment Manager APIs could be deprecated in the future

Cloud Deployment Manager is unfamiliar to the company's engineers

Cloud Deployment Manager requires a Google APIs service account to run

Cloud Deployment Manager can be used to permanently delete cloud resources

Cloud Deployment Manager only supports automation of Google Cloud resources

A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:

Run multiple segregated copies of the same application stack

Be based on open-source technology for cloud portability

Dynamically scale compute capacity based on demand

Support continuous software delivery

Run multiple segregated copies of the same application stack

Deploy application bundles using dynamic templates

Route network traffic to specific services based on URLWhich combination of technologies will meet all of his requirements?

Google Kubernetes Engine, Jenkins, and Helm

Google Kubernetes Engine and Cloud Load Balancing

Google Kubernetes Engine and Cloud Deployment Manager

Google Kubernetes Engine, Jenkins, and Cloud Load Balancing

Google Professional Cloud Architect Practice Test 2 - Free Online Exam Prep & Questions

Question 1 / 40

You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instance in a different project in the US-East region.

What steps must you take?

Use the Linux dd and netcat commands to copy and stream the root disk contents to a new virtual machine instance in the US-East region.

Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.

Create an image file from the root disk with Linux dd command, create a new virtual machine instance in the US-East region

Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file the root disk.

Comment (0)

Google Professional Cloud Architect Practice Test 2

Question

Google Professional Cloud Architect Practice Tests

Practice Tests