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| Section | Objectives |
|---|
| Managing and provisioning a solution infrastructure | - Configuring individual storage systems
- 1. Datastore and Bigtable
- 2. Cloud SQL and Spanner
- 3. Cloud Storage configuration
- Configuring compute systems
- 1. GKE configuration and management
- 2. Cloud Run and Cloud Functions
- 3. Compute Engine configuration
- Configuring network topologies
- 1. Hybrid and multi-cloud connectivity
- 2. Private access and VPN configuration
- 3. VPC design and peering
|
| Analyzing and optimizing technical and business processes | - Analyzing and defining technical processes
- 1. Software development lifecycle (SDLC)
- 2. Incident management and troubleshooting
- 3. CI/CD pipeline design
- Analyzing and defining business processes
- 1. Cost management and optimization
- 2. Stakeholder communication
- 3. Business KPIs and metrics
|
| Designing for security and compliance | - Designing for compliance
- 1. Audit logging and monitoring
- 2. Regulatory and compliance requirements
- 3. Data residency and sovereignty
- Designing for security
- 1. Application security
- 2. Identity and Access Management (IAM)
- 3. Network security
- 4. Data security and encryption
|
| Managing implementation | - Advising development/operation team(s) to ensure successful deployment
- 1. Deployment strategies
- 2. Testing and validation
- 3. Application development best practices
- Interacting with Google Cloud programmatically
- 1. Infrastructure as Code (IaC)
- 2. Cloud SDK and gcloud CLI
- 3. APIs and client libraries
|
| Designing and planning a cloud solution architecture | - Enabling future cloud technology
- 1. Designing for scalability and elasticity
- 2. Implementing future-proof architectures
- Creating a migration plan
- 1. Refactoring and rearchitecting applications
- 2. Identifying workloads for migration
- 3. Planning data migration
- Designing network, storage, and compute resources
- 1. Network design including load balancing and firewall rules
- 2. Storage options and data lifecycle management
- 3. Compute engine selection and configuration
- 4. GKE cluster and workload design
- Designing solution infrastructure that meets business requirements
- 1. Networking and compute resources
- 2. Business use cases and product strategy
- 3. Cost optimization
- 4. Data and storage architecture
- 5. Migration planning
- 6. Integration with existing systems
|
| Ensuring solution and operations reliability | - Monitoring/logging/profiling/alerting solution
- 1. Error reporting and alerting
- 2. Performance profiling and tracing
- 3. Cloud Monitoring and Cloud Logging
- Assisting with support
- 1. Incident response and troubleshooting
- 2. Capacity planning and scaling
- Evaluating quality control measures - Deployment and release management
- 1. Deployment strategies and rollback
- 2. Release management and versioning
|
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100% Pass Perfect Google - Professional-Cloud-Architect - New Google Certified Professional - Cloud Architect (GCP) Exam Prep
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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q142-Q147):
NEW QUESTION # 142
You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?
- A. Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.
- B. Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.
- C. Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.
- D. Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.
Answer: D
Explanation:
https://cloud.google.com/storage/docs/gsutil/addlhelp/UsingEncryptionKeys#generating- customer-supplied-encryption-keys
NEW QUESTION # 143
TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to
20 million 600 byte records a second for 40 TB an hour.
How should you design the data ingestion?
- A. Vehicles write data directly to Google Cloud Pub/Sub
- B. Vehicles continue to write data using the existing system (FTP)
- C. Vehicles stream data directly to Google BigQuery
- D. Vehicles write data directly to GCS
Answer: C
NEW QUESTION # 144
Case Study: 1 - 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.
For this question, refer to the Mountkirk Games case study. Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?
- A. Verify that the load-testing team is not running their tool against production.
- B. Verify that the new feature code did not introduce any performance bugs.
- C. Verify that the database is online.
- D. Verify that the project quota hasn't been exceeded.
Answer: D
NEW QUESTION # 145
Google Cloud Platform resources are managed hierarchically using organization, folders, and projects. When Cloud Identity and Access Management (IAM) policies exist at these different levels, what is the effective policy at a particular node of the hierarchy?
- A. The effective policy is determined only by the policy set at the node
- B. The effective policy is the union of the policy set at the node and policies inherited from its ancestors
- C. The effective policy is the policy set at the node and restricted by the policies of its ancestors
- D. The effective policy is the intersection of the policy set at the node and policies inherited from its ancestors
Answer: C
Explanation:
Reference: https://cloud.google.com/resource-manager/docs/cloud-platform-resource-hierarchy
NEW QUESTION # 146
You are running a cluster on Kubernetes Engine to serve a web application. Users are reporting that a specific part of the application is not responding anymore. You notice that all pods of your deployment keep restarting after 2 seconds. The application writes logs to standard output. You want to inspect the logs to find the cause of the issue. Which approach can you take?
- A. Review the Stackdriver logs for the specific Kubernetes Engine container that is serving the unresponsive part of the application.
- B. Connect to the cluster using gcloud credentials and connect to a container in one of the pods to read the logs.
- C. Review the Serial Port logs for each Compute Engine instance that is serving as a node in the cluster.
- D. Review the Stackdriver logs for each Compute Engine instance that is serving as a node in the cluster.
Answer: A
Explanation:
For container and system logs, GKE deploys a per-node logging agent that reads container logs, adds helpful metadata, and then stores them. The logging agent checks for container logs in the following sources:Standard output and standard error logs from containerized processes.
https://cloud.google.com/monitoring/kubernetes-engine/legacy-stackdriver/logging
NEW QUESTION # 147
......
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