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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: 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
Topic 2: Managing and provisioning a solution infrastructure	- Configuring individual storage systems 1. Datastore and Bigtable 2. Cloud Storage configuration 3. Cloud SQL and Spanner - Configuring compute systems 1. GKE configuration and management 2. Compute Engine configuration 3. Cloud Run and Cloud Functions - Configuring network topologies 1. VPC design and peering 2. Hybrid and multi-cloud connectivity 3. Private access and VPN configuration
Topic 3: 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. Performance profiling and tracing 2. Cloud Monitoring and Cloud Logging 3. Error reporting and alerting
Topic 4: Designing for security and compliance	- Designing for compliance 1. Audit logging and monitoring 2. Data residency and sovereignty 3. Regulatory and compliance requirements - Designing for security 1. Application security 2. Data security and encryption 3. Network security 4. Identity and Access Management (IAM)
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. Application development best practices 3. Deployment strategies
Topic 6: Designing and planning a cloud solution architecture	- Designing network, storage, and compute resources 1. Network design including load balancing and firewall rules 2. Storage options and data lifecycle management 3. GKE cluster and workload design 4. Compute engine selection and configuration - Designing solution infrastructure that meets business requirements 1. Business use cases and product strategy 2. Migration planning 3. Data and storage architecture 4. Networking and compute resources 5. Cost optimization 6. Integration with existing systems - Creating a migration plan 1. Refactoring and rearchitecting applications 2. Identifying workloads for migration 3. Planning data migration - Enabling future cloud technology 1. Designing for scalability and elasticity 2. Implementing future-proof architectures

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q270-Q275):

NEW QUESTION # 270
You deploy your custom java application to google app engine.
It fails to deploy and gives you the following stack trace:

A. Digitally sign all of your JAR files and redeploy your application.
B. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
C. Upload missing JAR files and redeploy your application

Answer: A

NEW QUESTION # 271
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

A. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
B. Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
C. Create an instance template from the existing disk. Create a custom image from the instance template.
Create an autoscaled managed instance group from the custom image.
D. Create a custom image from the existing disk. Create an instance template from the custom image.
Create an autoscaled managed instance group from the instance template.

Answer: B

Explanation:
Explanation
https://cloud.google.com/compute/docs/instance-templates/create-instance-templates

NEW QUESTION # 272
You need to upgrade the EHR connection to comply with their requirements. The new connection design must support business-critical needs and meet the same network and security policy requirements. What should you do?

A. Add a new Carrier Peering connection.
B. Add three new Cloud VPN connections.
C. Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G.
D. Add a new Dedicated Interconnect connection.

Answer: A

NEW QUESTION # 273
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

A. Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters update mycluster --enable-autoscaling --min-nodes=1 --max-nodes=10
B. Create a new Container Engine cluster with the following command:
gcloud alpha container clusters create mycluster --enable-autocaling --min-nodes=1 --max-nodes=10 and redeploy your application.
C. Add a tag to the instances in the cluster with the following command:
gcloud compute instances add-tags INSTANCE --tags enable --autoscaling max-nodes-10
D. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize CLUSTER_NAME --size 10

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
References: https://cloud.google.com/sdk/gcloud/reference/container/clusters/create

NEW QUESTION # 274
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.

A. Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the
B. Use 'bq show' to list all jobs. Per job, use 'bq Is' to list job information and get the required information.
C. Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.
D. In the BigQuery interface, execute a query on the JOBS table to get the required information.

Answer: B

Explanation:
required information.
Reference:
https://cloud.google.com/bigquery/docs/managing-jobs

NEW QUESTION # 275
......

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