Google Professional-Cloud-Architect Exam Questions in exam preparation

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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Managing implementation	- Advising development/operation team(s) to ensure successful deployment 1. Application development best practices 2. Deployment strategies 3. Testing and validation - Interacting with Google Cloud programmatically 1. Infrastructure as Code (IaC) 2. Cloud SDK and gcloud CLI 3. APIs and client libraries
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
Designing and planning a cloud solution architecture	- Designing network, storage, and compute resources 1. Compute engine selection and configuration 2. Network design including load balancing and firewall rules 3. Storage options and data lifecycle management 4. GKE cluster and workload design - Enabling future cloud technology 1. Implementing future-proof architectures 2. Designing for scalability and elasticity - Creating a migration plan 1. Planning data migration 2. Refactoring and rearchitecting applications 3. Identifying workloads for migration - Designing solution infrastructure that meets business requirements 1. Cost optimization 2. Integration with existing systems 3. Migration planning 4. Business use cases and product strategy 5. Networking and compute resources 6. Data and storage architecture
Managing and provisioning a solution infrastructure	- Configuring individual storage systems 1. Datastore and Bigtable 2. Cloud SQL and Spanner 3. Cloud Storage configuration - 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
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. Audit logging and monitoring 2. Data residency and sovereignty 3. Regulatory and compliance requirements
Ensuring solution and operations reliability	- Monitoring/logging/profiling/alerting solution 1. Cloud Monitoring and Cloud Logging 2. Error reporting and alerting 3. Performance profiling and tracing - 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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q98-Q103):

NEW QUESTION # 98
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. Update your GKE cluster to use Cloud Operations for GKE.
2. 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. 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.
D. 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.

Answer: A

Explanation:
Reference: https://cloud.google.com/blog/products/management-tools/using-logging-your-apps-running- kubernetes-engine

NEW QUESTION # 99
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 the container tag match the source code commit hash.
B. Make sure a developer is tagging the code commit with the date and time of commit
C. Make sure a developer is adding a comment to the commit that links to the deployment.
D. Make sure the developer is tagging the commits with :latest

Answer: A

NEW QUESTION # 100
You have a Compute Engine application that you want to autoscale when total memory usage exceeds 80%. You have installed the Cloud Monitoring agent and configured the autoscaling policy as follows:
- Metric identifier: agent.googleapis.com/memory/percent_used
- Filter: metric.label.state = 'used'
- Target utilization level: 80
- Target type: GAUGE
You observe that the application does not scale under high load. You want to resolve this. What should you do?

A. Change the Metric identifier to agent.googleapis.com/memory/bytes_used.
B. Change the filter to metric.label.state = 'free' and the Target utilization to 20.
C. Change the Target type to DELTA_PER_MINUTE.
D. Change the filter to metric.label.state = 'used' AND metric.label.state = 'buffered' AND metric.label.state = 'cached' AND metric.label.state = 'slab'.

Answer: D

Explanation:
A). Change the Target type to DELTA_PER_MINUTE. (in this case the utlization tagret need to be in minutes which is not the case its percentage % and not time based.
B). Change the Metric identifier to agent.googleapis.com/memory/bytes_used. (not applicable)
C). Change the filter to metric.label.state = 'used' AND metric.label.state = 'buffered' AND metric.label.state = 'cached' AND metric.label.state = 'slab'. (this gives total memory used)
D). Change the filter to metric.label.state = 'free' and the Target utilization to 20. (you would still need to change the the percent_used to percent_free)
https://stackoverflow.com/questions/69267526/what-is-disk-data-cached-in-the-memory-usage- chart-metrics-of-gcp-compute-in
https://cloud.google.com/compute/docs/autoscaler/scaling-cloud-monitoring-metricset.

NEW QUESTION # 101
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 dat a. How can you design your logging system to verify authenticity of your logs?

A. Use a SQL database and limit who can modify the log table.
B. Write the log concurrently in the cloud and on premises.
C. Digitally sign each timestamp and log entry and store the signature.
D. Create a JSON dump of each log entry and store it in Google Cloud Storage.

Answer: C

Explanation:
Reference:
https://cloud.google.com/storage/docs/access-logs
References: https://cloud.google.com/logging/docs/reference/tools/gcloud-logging

NEW QUESTION # 102
Your company acquired a healthcare startup and must retain its customers' medical information for up to 4 more years, depending on when it was created. Your corporate policy is to securely retain this data, and then delete it as soon as regulations allow.
Which approach should you take?

A. Store the data using the Cloud Storage and use lifecycle management to delete files when they expire.
B. Store the data in Cloud Storage and run a nightly batch script that deletes all expired data.
C. Anonymize the data using the Cloud Data Loss Prevention API and store it indefinitely.
D. Store the data in Google Drive and manually delete records as they expire.

Answer: A

NEW QUESTION # 103
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