[Jul 06, 2024] New Professional-Cloud-Architect Exam Dumps with High Passing Rate
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Google Professional-Cloud-Architect certification exam is a challenging exam that requires a deep understanding of cloud computing and the ability to design and manage complex cloud solutions. However, achieving this certification can help professionals advance their careers, increase their earning potential, and demonstrate their expertise in cloud computing. With the increasing demand for cloud computing professionals, the Google Professional-Cloud-Architect certification is becoming an essential credential for professionals looking to advance their careers in this field.
To become a Google Certified Professional - Cloud Architect, candidates must pass the GCP certification exam. Professional-Cloud-Architect exam consists of multiple-choice questions and is delivered online. Candidates have two hours to complete the exam, and they must score at least 70% to pass. Professional-Cloud-Architect exam fee is $200 USD, and it is recommended that candidates have at least three years of industry experience before taking the exam.
Google Professional Cloud Architect Practice Test Questions, Google Professional Cloud Architect Exam Practice Test Questions
The Google Professional Cloud Architect certification equips the individuals with the ability to leverage Google Cloud technologies for their organizations. It offers the potential candidates an extensive understanding of Google Cloud Platform and Cloud architecture in general. Earning this certificate is a great way to grow your career in the ever-growing Cloud domain.
NEW QUESTION # 82
The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?
- A. Compress individual files.
Name files with serverName-EventSequence.
Save files to one bucket
Set custom metadata headers for each object after saving. - B. Batch every 10,000 events with a single manifest file for metadata.
Compress event files and manifest file into a single archive file.
Name files using serverName-EventSequence.
Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket. - C. Append metadata to file body.
Compress individual files.
Name files with a random prefix pattern.
Save files to one bucket - D. Append metadata to file body.
Compress individual files.
Name files with serverName-Timestamp.
Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket.
Otherwise, save files to existing bucket
Answer: B
NEW QUESTION # 83
You want to allow your operations learn to store togs from all the production protects in your Organization, without during logs from other projects All of the production projects are contained in a folder. You want to ensure that all logs for existing and new production projects are captured automatically. What should you do?
- A. Create tog exports in the production projects. Set the tog sinks to be BigQuery datasets in the production projects and grant IAM access to the operations team to run queries on the datasets
- B. Create log exports in the production projects. Set the log sinks to be a Cloud Storage bucket in an operations project.
- C. Create an aggregated export on the Production folder. Set the log sink to be a Cloud Storage bucket in an operations project
- D. Create an aggregated export on the Organization resource. Set the tog sink to be a Cloud Storage bucket in an operations project.
Answer: D
NEW QUESTION # 84
For this question, refer to the TerramEarth case study
Your development team has created a structured API to retrieve vehicle data. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data. What should you do?
- A. Build SAML 2.0 SSO compatibility into your authentication system.
- B. Restrict data access based on the source IP address of the partner systems.
- C. Create secondary credentials for each dealer that can be given to the trusted third party.
- D. Build or leverage an OAuth-compatible access control system.
Answer: D
Explanation:
Explanation
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#delegate_application_autho Delegate application authorization with OAuth2 Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.
References:
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations#delegate_application_autho
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
Topic 2, Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's 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.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming 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 gams to target users.
CTO Statement
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.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.
NEW QUESTION # 85
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?
- A. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow
- B. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc
- C. Container Engine, Cloud Pub/Sub, and Cloud SQL
- D. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery
- E. Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow
Answer: D
Explanation:
Ingest millions of streaming events per second from anywhere in the world with Cloud Pub/Sub, powered by Google's unique, high-speed private network. Process the streams with Cloud Dataflow to ensure reliable, exactly-once, low-latency data transformation. Stream the transformed data into BigQuery, the cloud-native data warehousing service, for immediate analysis via SQL or popular visualization tools.
From scenario: They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity
2. Process incoming data on the fly directly from the game servers
3. Process data that arrives late because of slow mobile networks
4. Allow SQL queries to access at least 10 TB of historical data
5. Process files that are regularly uploaded by users' mobile devices
6. Use only fully managed services
References: https://cloud.google.com/solutions/big-data/stream-analytics/
NEW QUESTION # 86
Your company captures all web traffic data in Google Analytics 360 and stores it in BigQuery. Each country has its own dataset. Each dataset has multiple tables. You want analysts from each country to be able to see and query only the data for their respective countries.
How should you configure the access rights?
- A. Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysts' group the IAM role of BigQuery dataViewer. Share the appropriate dataset with view access with each respective analyst country- group. - B. Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysts' group the IAM role of BigQuery dataViewer. Share the appropriate table with view access with each respective analyst country- group. - C. Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysts' group the IAM role of BigQuery jobUser. Share the appropriate dataset with view access with each respective analyst country- group. - D. Create a group per country. Add analysts to their respective country-groups. Create a single group
'all_analysts', and add all country-groups as members. Grant the 'all-analysts' group the IAM role of BigQuery jobUser. Share the appropriate tables with view access with each respective analyst country- group.
Answer: C
NEW QUESTION # 87
For this question, refer to the EHR Healthcare case study. You are a developer on the EHR customer portal team. Your team recently migrated the customer portal application to Google Cloud. The load has increased on the application servers, and now the application is logging many timeout errors. You recently incorporated Pub/Sub into the application architecture, and the application is not logging any Pub/Sub publishing errors. You want to improve publishing latency. What should you do?
- A. Create a backup Pub/Sub message queue.
- B. Increase the Pub/Sub Total Timeout retry value.
- C. Move from a Pub/Sub subscriber pull model to a push model.
- D. Turn off Pub/Sub message batching.
Answer: D
Explanation:
Reference:
https://cloud.google.com/pubsub/docs/publisher?hl=en#batching
NEW QUESTION # 88
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?
- A. Grant the security team access to the logs in each Project.
- B. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.
- C. Configure Stackdriver Monitoring for all Projects with the default retention policies.
- D. Configure Stackdriver Monitoring for all Projects, and export to BigQuery.
Answer: B
NEW QUESTION # 89
Your development team has created a structured API to retrieve vehicle data. They want to allow third
parties to develop tools for dealerships that use this vehicle event data. You want to support delegated
authorization against this data.
What should you do?
- A. Build SAML 2.0 SSO compatibility into your authentication system
- B. Restrict data access based on the source IP address of the partner systems
- C. Build or leverage an OAuth-compatible access control system
- D. Create secondary credentials for each dealer that can be given to the trusted third party
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Delegate application authorization with OAuth2
Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that
are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-
legged OAuth.
References: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-
organizations#delegate_application_authorization_with_oauth2
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps
NEW QUESTION # 90
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 payment card information before initial storage?
- A. Encrypt all data using elliptic curve cryptography
- B. Hash all data using SHA256
- C. De-identify the data with the Cloud Data Loss Prevention API
- D. Use regular expressions to find and redact phone numbers, email addresses, and credit card numbers
Answer: C
Explanation:
Explanation/Reference: https://cloud.google.com/solutions/pci-dss-compliance-in- gcp#using_data_loss_prevention_api_to_sanitize_data
NEW QUESTION # 91
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S.
data centers.
Database
* Oracle Database stores user profiles
* PostgreSQL database stores user credentials
-homed in US West
Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
* 20 machines in US East Coast, each machine has:
-core CPU
RAID 1)
Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study.
JencoMart has built a version of their application on Google Cloud Platform that serves traffic to Asia. You want to measure success against their business and technical goals. Which metrics should you track?
- A. The number of character sets present in the database
- B. Total visits and average latency for users in Asia
- C. Total visits, error rates, and latency from Asia
- D. Error rates for requests from Asia
- E. Latency difference between US and Asia
Answer: B
Explanation:
From scenario:
Business Requirements include: Expand services into Asia
Technical Requirements include: Decrease latency in Asia
NEW QUESTION # 92
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 click-throughs 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 TWO)
- A. Use a Google Container Engine cluster to serve the website and store data to persistent disk.
- B. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
- C. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.
- D. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.
Answer: B,C
Explanation:
Reference: https://cloud.google.com/storage-options/
References:
https://cloud.google.com/storage-options/
NEW QUESTION # 93
You have an application that makes HTTP requests to Cloud Storage. Occasionally the requests fail with HTTP status codes of 5xx and 429.
How should you handle these types of errors?
- A. Use gRPC instead of HTTP for better performance.
- B. Make sure the Cloud Storage bucket is multi-regional for geo-redundancy.
- C. Implement retry logic using a truncated exponential backoff strategy.
- D. Monitor https://status.cloud.google.com/feed.atom and only make requests if Cloud Storage is not reporting an incident.
Answer: A
Explanation:
Explanation
Reference https://cloud.google.com/storage/docs/json_api/v1/status-codes
NEW QUESTION # 94
A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run property on Google Cloud Platform. What should you do?
- A. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.
- B. Help the engineer to convert his websocket code to use HTTP streaming.
- C. Meet with the cloud operations team and the engineer to discuss load balancer options.
- D. Review the encryption requirements for websocket connections with the security team.
Answer: C
Explanation:
Google Cloud Platform (GCP) HTTP(S) load balancing provides global load balancing for HTTP(S) requests destined for your instances.
The HTTP(S) load balancer has native support for the WebSocket protocol.
Incorrect Answers:
A: HTTP server push, also known as HTTP streaming, is a client-server communication pattern that sends information from an HTTP server to a client asynchronously, without a client request. A server push architecture is especially effective for highly interactive web or mobile applications, where one or more clients need to receive continuous information from the server.
References:
https://cloud.google.com/compute/docs/load-balancing/http/
NEW QUESTION # 95
Your company uses the Firewall Insights feature in the Google Network Intelligence Center. You have several firewall rules applied to Compute Engine instances. You need to evaluate the efficiency of the applied firewall ruleset. When you bring up the Firewall Insights page in the Google Cloud Console, you notice that there are no log rows to display. What should you do to troubleshoot the issue?
- A. Enable Firewall Rules Logging for the firewall rules you want to monitor.
- B. Verify that your user account is assigned the compute.networkAdmin Identity and Access Management (IAM) role.
- C. Install the Google Cloud SDK, and verify that there are no Firewall logs in the command line output.
- D. Enable Virtual Private Cloud (VPC) flow logging.
Answer: A
Explanation:
Reference: https://cloud.google.com/network-intelligence-center/docs/firewall-insights/how-to/using-firewall- insights
NEW QUESTION # 96
Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Googlerecommended practices. What should you do?
- A. Move your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.
- B. Move your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.
- C. Install gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.
- D. Install gsutil on each server containing data. Use streaming transfers to upload the data into Cloud
Answer: B
Explanation:
Storage.
Explanation:
https://cloud.google.com/transfer-appliance/docs/2.0/faq
NEW QUESTION # 97
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. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
- B. 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.
- 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:
The best practice when configuration a health check is to check health and serve traffic on the same port. However, it is possible to perform health checks on one port, but serve traffic on another. If you do use two different ports, ensure that firewall rules and services running on instances are configured appropriately. If you run health checks and serve traffic on the same port, but decide to switch ports at some point, be sure to update both the backend service and the health check.
Backend services that do not have a valid global forwarding rule referencing it will not be health checked and will have no health status.
References: https://cloud.google.com/compute/docs/load-balancing/http/backend-service Reference:
https://cloud.google.com/vpc/docs/using-firewalls
NEW QUESTION # 98
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?
- A. Modify all of their batch jobs to use bulk inserts into the database
- B. Dynamically resize the SSD persistent disk to 500 GB
- C. Create a new virtual machine running PostgreSQL
- D. Migrate their performance metrics warehouse to BigQuery
- E. Increase the virtual machine's memory to 64 GB
Answer: B
NEW QUESTION # 99
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?
- A. Instrument your application with Stackdriver Trace in order to break down the request latencies at each microservice
- B. Set timeouts on your application so that you can fail requests faster
- C. Use Stackdriver Monitoring to look for insights that show when your API latencies are high
- D. Send custom metrics for each of your requests to Stackdriver Monitoring
Answer: A
Explanation:
Explanation/Reference: https://cloud.google.com/trace/docs/quickstart#find_a_trace
NEW QUESTION # 100
For this question, refer to the Helicopter Racing League (HRL) case study. Your team is in charge of creating a payment card data vault for card numbers used to bill tens of thousands of viewers, merchandise consumers, and season ticket holders. You need to implement a custom card tokenization service that meets the following requirements:
* It must provide low latency at minimal cost.
* It must be able to identify duplicate credit cards and must not store plaintext card numbers.
* It should support annual key rotation.
Which storage approach should you adopt for your tokenization service?
- A. Encrypt the card data with a deterministic algorithm stored in Firestore using Datastore mode.
- B. Encrypt the card data with a deterministic algorithm and shard it across multiple Memorystore instances.
- C. Use column-level encryption to store the data in Cloud SQL.
- D. Store the card data in Secret Manager after running a query to identify duplicates.
Answer: C
NEW QUESTION # 101
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