Get Real Professional-Cloud-Architect Exam Dumps [Dec-2024] Practice Tests
Last Professional-Cloud-Architect practice test reviews: Practice Test Google dumps
Google Professional-Cloud-Architect exam is a certification exam offered by Google that validates an individual's ability to design, develop, and manage robust, secure, and scalable cloud architecture solutions using GCP. Professional-Cloud-Architect exam format consists of multiple-choice and scenario-based questions, and candidates must have a strong understanding of cloud computing concepts and GCP services and tools. Achieving this certification demonstrates expertise in GCP and is particularly valuable for cloud architects, cloud engineers, and solutions architects.
NEW QUESTION # 85
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?
- A. 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. - B. 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. - C. 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. - D. 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.
Answer: B
NEW QUESTION # 86
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?
- A. 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.
- B. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
- C. Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
- D. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
Answer: D
Explanation:
Explanation: https://cloud.google.com/vpc/docs/using-firewalls
NEW QUESTION # 87
Your company is running its application workloads on Compute Engine. The applications have been deployed in production, acceptance, and development environments. The production environment is business-critical and is used 24/7, while the acceptance and development environments are only critical during office hours.
Your CFO has asked you to optimize these environments to achieve cost savings during idle times. What should you do?
- A. Use Cloud Scheduler to trigger a Cloud Function that will stop the development and acceptance environments after office hours and start them just before office hours.
- B. Use regular Compute Engine instances for the production environment, and use preemptible VMs for the acceptance and development environments.
- C. Create a shell script that uses the gcloud command to change the machine type of the development and acceptance instances to a smaller machine type outside of office hours. Schedule the shell script on one of the production instances to automate the task.
- D. Deploy the development and acceptance applications on a managed instance group and enable autoscaling.
Answer: A
Explanation:
Reference: https://cloud.google.com/blog/products/it-ops/best-practices-for-optimizing-your-cloud-costs
NEW QUESTION # 88
For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?
- A. Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.
- B. Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher.
Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts. - C. Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.
- D. Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.
Answer: A
NEW QUESTION # 89
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency.
What should you do?
- A. Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
- B. Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
- C. Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
- D. Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.
Answer: C
NEW QUESTION # 90
Your company has an application running as a Deployment in a Google Kubernetes Engine (GKE) cluster When releasing new versions of the application via a rolling deployment, the team has been causing outages The root cause of the outages is misconfigurations with parameters that are only used in production You want to put preventive measures for this in the platform to prevent outages What should you do?
- A. Create a Scheduled Task to check whether the application is available
- B. Configure health checks on the managed instance group
- C. Configure liveness and readiness probes in the Pod specification
- D. Configure an uptime alert in Cloud Monitoring
Answer: B
Explanation:
Explanation
This option can help prevent outages caused by misconfigurations with parameters that are only used in production. Liveness and readiness probes are mechanisms to check the health and availability of the Pods and containers in a GKE cluster. Liveness probes determine if a container is still running, and if not, restart it.
Readiness probes determine if a container is ready to serve requests, and if not, remove it from the load balancer. By configuring liveness and readiness probes in the Pod specification, you can ensure that your application can handle traffic and recover from failures gracefully during a rolling update. The other options are not optimal for this scenario, because they either do not prevent outages, but only alert or monitor them (B, C), or do not apply to GKE clusters, but to Compute Engine instances (D). References:
https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps
https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-best-practices-setting-up-health-
NEW QUESTION # 91
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?
- A. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
- B. Define a design for the security of data in your web application that meets GDPR requirements.
- C. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
- D. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
Answer: B
Explanation:
https://cloud.google.com/security/gdpr/?tab=tab4
Reference: https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/
NEW QUESTION # 92
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?
- A. Google Compute Engine with Google BigQuery
- B. Google Container Engine with Bigtable
- C. Google Cloud Dataflow
- D. Google Cloud Dataproc
Answer: C
Explanation:
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
Reference: https://cloud.google.com/dataflow/
NEW QUESTION # 93
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
- A. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
- B. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
- C. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
- D. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of
36 months.
Answer: C
NEW QUESTION # 94
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?
- A. Schedule a cron script using gsutil ls -lr gs://backups/**to find and remove items older than 90 days
- B. Write a lifecycle management rule in XML and push it to the bucket with gsutil
- C. Write a lifecycle management rule in JSON and push it to the bucket with gsutil
- D. Schedule a cron script using gsutil ls -l gs://backups/**to find and remove items older than 90 days and schedule it with cron
Answer: C
NEW QUESTION # 95
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier. How should you configure the network?
- A. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
- B. Add tags to each tier and set up routes to allow the desired traffic flow.
- C. Add each tier to a different subnetwork.
- D. Set up software based firewalls on individual VMs.
Answer: A
Explanation:
Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
References: https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/ Reference:
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/
NEW QUESTION # 96
For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in
Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file
storage cost.
Which two actions should you take?
- A. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to
Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Coldline", and
Action: "Delete". - B. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Coldline", and Action: "Set to
Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Coldline", and
Action: "Set to Nearline". - C. Create a Cloud Storage lifecycle rule with Age: "30", Storage Class: "Standard", and Action: "Set to
Coldline", and create a second GCS life-cycle rule with Age: "365", Storage Class: "Nearline", and
Action: "Delete". - D. Create a Cloud Storage lifecycle rule with Age: "90", Storage Class: "Standard", and Action: "Set to
Nearline", and create a second GCS life-cycle rule with Age: "91", Storage Class: "Nearline", and
Action: "Set to Coldline".
Answer: C
NEW QUESTION # 97
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?
- A. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
- B. Define a design for the security of data in your web application that meets GDPR requirements.
- C. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
- D. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
Answer: B
NEW QUESTION # 98
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
Redis - metadata, social graph, caching
Application servers:
Tomcat - Java micro-services
Nginx - static content
Apache Beam - Batch processing
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
NAS - image storage, logs, backups
Apache Hadoop/Spark servers:
Data analysis
Real-time trending calculations
MQ servers:
Messaging
Social notifications
Events
Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
Business Requirements
Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center.
How should he proceed?
- A. Create a cron script using gsutil to copy the files to a Regional Storage bucket.
- B. Create a cron script using gsutil to copy the files to a Coldline Storage bucket.
- C. Create a Cloud Storage Transfer Service Job to copy the files to a Coldline Storage bucket.
- D. Create a Cloud Storage Transfer Service job to copy the files to a Regional Storage bucket.
Answer: B
Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
When transferring data from an on-premises location, use gsutil.
When transferring data from another cloud storage provider, use Storage Transfer Service.
Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate
NEW QUESTION # 99
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?
- A. Define a design for the security of data in your web application that meets GDPR requirements.
- B. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
- C. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
- D. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
Answer: C
Explanation:
Explanation
https://cloud.google.com/security/gdpr/?tab=tab4
Reference: https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/
NEW QUESTION # 100
Your company's test suite is a custom C++ application that runs tests throughout each day on Linux virtual machines. The full test suite takes several hours to complete, running on a limited number of on premises servers reserved for testing. Your company wants to move the testing infrastructure to the cloud, to reduce the amount of time it takes to fully test a change to the system, while changing the tests as little as possible. Which cloud infrastructure should you recommend?
- A. Google Compute Engine managed instance groups with auto-scaling
- B. Google Compute Engine unmanaged instance groups and Network Load Balancer
- C. Google App Engine with Google Stackdriver for logging
- D. Google Cloud Dataproc to run Apache Hadoop jobs to process each test
Answer: A
Explanation:
https://cloud.google.com/compute/docs/instance-groups/
NEW QUESTION # 101
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?
- A. 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
- B. 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
- C. 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
- D. 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% of expected load
Answer: D
NEW QUESTION # 102
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
- A. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.
- B. Use the --no-auto-delete flag on all persistent disks and stop the VM.
- C. Store all state into local SSD, snapshot the persistent disks, and terminate the VM.
- D. Use Google BigQuery billing export and labels to associate cost to groups.
- E. Apply VM CPU utilization label and include it in the BigQuery billing export.
- F. Use the -auto-delete flag on all persistent disks and terminate the VM.
Answer: B,D
Explanation:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
NEW QUESTION # 103
Your company is developing a web-based application. You need to make sure that production deployments are linked to source code commits and are fully auditable. What should you do?
- A. Make sure a developer is tagging the code commit with the date and time of commit
- B. Make sure a developer is adding a comment to the commit that links to the deployment.
- C. Make the container tag match the source code commit hash.
- D. Make sure the developer is tagging the commits with :latest
Answer: C
Explanation:
From: https://cloud.google.com/architecture/best-practices-for-building-containers Under: Tagging using the Git commit hash (bottom of page almost)
"In this case, a common way of handling version numbers is to use the Git commit SHA-1 hash (or a short version of it) as the version number. By design, the Git commit hash is immutable and references a specific version of your software.
You can use this commit hash as a version number for your software, but also as a tag for the Docker image built from this specific version of your software. Doing so makes Docker images traceable: because in this case the image tag is immutable, you instantly know which specific version of your software is running inside a given container."
NEW QUESTION # 104
You have an application that runs in Google Kubernetes Engine (GKE). Over the last 2 weeks, customers have reported that a specific part of the application returns errors very frequently. You currently have no logging or monitoring solution enabled on your GKE cluster. You want to diagnose the problem, but you have not been able to replicate the issue. You want to cause minimal disruption to the application. What should you do?
- A. 1. Create a new GKE cluster with Cloud Operations for GKE enabled.
2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
3. Use the GKE Monitoring dashboard to investigate logs from affected Pods. - B. 1. Update your GKE cluster to use Cloud Operations for GKE, and deploy Prometheus.
2. Set an alert to trigger whenever the application returns an error. - C. 1. Update your GKE cluster to use Cloud Operations for GKE.
2. Use the GKE Monitoring dashboard to investigate logs from affected Pods. - D. 1. Create a new GKE cluster with Cloud Operations for GKE enabled, and deploy Prometheus.
2. Migrate the affected Pods to the new cluster, and redirect traffic for those Pods to the new cluster.
3. Set an alert to trigger whenever the application returns an error.
Answer: C
NEW QUESTION # 105
You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?
- A. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
- B. Create the Key object for each Entity and run multiple get operations, one operation for each entity
- C. Use the identifiers to create a query filter and run a batch query operation
- D. Create the Key object for each Entity and run a batch get operation
Answer: C
Explanation:
https://cloud.google.com/datastore/docs/concepts/entities#datastore-datastore-batch-upsert-nodejs
NEW QUESTION # 106
You have deployed an application to Kubernetes Engine, and are using the Cloud SQL proxy container to make the Cloud SQL database available to the services running on Kubernetes. You are notified that the application is reporting database connection issues. Your company policies require a post-mortem. What should you do?
- A. In the GCP Console, navigate to Stackdriver Logging. Consult logs for Kubernetes Engine and Cloud SQL.
- B. In the GCP Console, navigate to Cloud SQL. Restore the latest backup. Use kubectl to restart all pods.
- C. Validate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role.
- D. Use gcloud sql instances restart.
Answer: C
NEW QUESTION # 107
You are creating an App Engine application that uses Cloud Datastore as its persistence layer.
You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?
- A. Use the identifiers to create a query filter and run multiple query operations, one operation for each entity
- B. Create the Key object for each Entity and run multiple get operations, one operation for each entity
- C. Use the identifiers to create a query filter and run a batch query operation
- D. Create the Key object for each Entity and run a batch get operation
Answer: D
NEW QUESTION # 108
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