Free PDF Google - Professional-Cloud-Architect - Google Certified Professional - Cloud Architect (GCP)–Trustable Test Questions Vce

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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Topic 1: Designing for security and compliance- Designing for security
  • 1. Application security
  • 2. Identity and Access Management (IAM)
  • 3. Data security and encryption
  • 4. Network security
- Designing for compliance
  • 1. Data residency and sovereignty
  • 2. Regulatory and compliance requirements
  • 3. Audit logging and monitoring
Topic 2: Analyzing and optimizing technical and business processes- Analyzing and defining business processes
  • 1. Cost management and optimization
  • 2. Business KPIs and metrics
  • 3. Stakeholder communication
- Analyzing and defining technical processes
  • 1. Incident management and troubleshooting
  • 2. Software development lifecycle (SDLC)
  • 3. CI/CD pipeline design
Topic 3: Designing and planning a cloud solution architecture- Creating a migration plan
  • 1. Refactoring and rearchitecting applications
  • 2. Planning data migration
  • 3. Identifying workloads for migration
- Designing solution infrastructure that meets business requirements
  • 1. Integration with existing systems
  • 2. Networking and compute resources
  • 3. Data and storage architecture
  • 4. Migration planning
  • 5. Cost optimization
  • 6. Business use cases and product strategy
- Enabling future cloud technology
  • 1. Designing for scalability and elasticity
  • 2. Implementing future-proof architectures
- Designing network, storage, and compute resources
  • 1. Storage options and data lifecycle management
  • 2. GKE cluster and workload design
  • 3. Network design including load balancing and firewall rules
  • 4. Compute engine selection and configuration
Topic 4: Ensuring solution and operations reliability- Assisting with support
  • 1. Capacity planning and scaling
  • 2. Incident response and troubleshooting
- Deployment and release management
  • 1. Deployment strategies and rollback
  • 2. Release management and versioning
- Evaluating quality control measures
- Monitoring/logging/profiling/alerting solution
  • 1. Cloud Monitoring and Cloud Logging
  • 2. Error reporting and alerting
  • 3. Performance profiling and tracing
Topic 5: Managing implementation- Interacting with Google Cloud programmatically
  • 1. Infrastructure as Code (IaC)
  • 2. APIs and client libraries
  • 3. Cloud SDK and gcloud CLI
- Advising development/operation team(s) to ensure successful deployment
  • 1. Testing and validation
  • 2. Deployment strategies
  • 3. Application development best practices
Topic 6: Managing and provisioning a solution infrastructure- Configuring network topologies
  • 1. VPC design and peering
  • 2. Hybrid and multi-cloud connectivity
  • 3. Private access and VPN configuration
- Configuring compute systems
  • 1. Cloud Run and Cloud Functions
  • 2. Compute Engine configuration
  • 3. GKE configuration and management
- Configuring individual storage systems
  • 1. Datastore and Bigtable
  • 2. Cloud SQL and Spanner
  • 3. Cloud Storage configuration

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q283-Q288):

NEW QUESTION # 283
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?

Answer: C

Explanation:
https://cloud.google.com/community/tutorials/pci-tokenizer Deterministic output means that a given set of inputs (card number, expiration, and userID) will always generate the same token. This is useful if you want to rely on the token value to deduplicate your token stores. You can simply match a newly generated token to your existing catalog of tokens to determine whether the card has been previously stored. Depending on your application architecture, this can be a very useful feature. However, this could also be accomplished using a salted hash of the input values.


NEW QUESTION # 284
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry dat a. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

Answer: B

Explanation:
Coldline Storage is the best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs. For example:
Cold Data Storage - Infrequently accessed data, such as data stored for legal or regulatory reasons, can be stored at low cost as Coldline Storage, and be available when you need it.
Disaster recovery - In the event of a disaster recovery event, recovery time is key. Cloud Storage provides low latency access to data stored as Coldline Storage.
References: https://cloud.google.com/storage/docs/storage-classes


NEW QUESTION # 285
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?

Answer: A

Explanation:
https://cloud.google.com/architecture/best-practices-for-building-
containers#tagging_using_the_git_commit_hash
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 # 286
Your ecommerce platform uses a regional Cloud SQL for PostgreSQL database to store critical order information. The business requests a recovery time objective (RTO) of less than 10 minutes and a recovery point objective (RPO) of 2 minutes to ensure business continuity in the event of a full regional outage. You need to design a disaster recovery strategy for the Cloud SQL database that meets the business ' s strict RTO and RPO requirements. Your design must avoid operational complexity. What should you do?

Answer: A

Explanation:
A full regional outage disables an entire Google Cloud region, including all internal availability zones.
Standard High Availability (HA) configuration for Cloud SQL operates exclusively as an intra-region, cross- zone failover mechanism; it cannot survive a comprehensive regional disaster. Similarly, point-in-time recovery utilizing automated hourly backups cannot satisfy a strict 2-minute RPO requirement, as data generated between the last backup and the outage would be lost.
To satisfy an RPO of 2 minutes and an RTO of under 10 minutes during a total regional loss, a cross-region read replica must be maintained. Cloud SQL uses asynchronous replication to update cross-region replicas, which continuously mirrors transactions with minimal lag, safely preserving data in a geographically separated region. When the primary region drops, administrative promotion of the cross-region read replica into a standalone read-write primary instance can be completed in minutes, successfully meeting both the availability goals and minimizing complexity.
References: Cloud Architect (GCP) Study Guide topics: " Cloud SQL High Availability vs Disaster Recovery
" , " Cross-Region Replication Mechanics " , and " Promoting Read Replicas for Business Continuity " .


NEW QUESTION # 287
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?

Answer: A


NEW QUESTION # 288
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