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To become a Google Certified Professional - Cloud Architect (GCP), candidates must pass the Professional-Cloud-Architect Exam. Google Certified Professional - Cloud Architect (GCP) certification is intended for individuals who have a deep understanding of GCP services and the ability to design, develop, and manage robust, secure, and scalable solutions. Google Certified Professional - Cloud Architect (GCP) certification exam covers a wide range of topics, including cloud architecture, infrastructure, data storage, networking, security, and application development. Google Certified Professional - Cloud Architect (GCP) certification demonstrates that a professional has the skills and knowledge required to design and implement cloud solutions using GCP, which can lead to better job opportunities and higher salaries in the cloud computing industry.

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Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Exam is a certification exam offered by Google Cloud that is designed to assess and validate the skills and knowledge of individuals in designing and implementing cloud architecture solutions. Professional-Cloud-Architect exam is aimed at professionals who are interested in becoming certified Google Cloud Architects and who possess a strong understanding of cloud computing, networking, and security concepts.

To become a Google Certified Professional - Cloud Architect, candidates must pass a rigorous exam that tests their understanding of various cloud architecture concepts, such as designing and planning a cloud solution architecture, managing and provisioning a cloud infrastructure, optimizing and securing a cloud solution, and analyzing and optimizing technical and business processes of a cloud solution.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q174-Q179):

NEW QUESTION # 174
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

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.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled. Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.
References:
https://cloud.google.com/sdk/gcloud/reference/container/clusters/create


NEW QUESTION # 175
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?

Answer: B


NEW QUESTION # 176
Your company is a global financial services provider that processes and analyzes a high volume of credit card transactions in real time for fraud detection. Your analytics team must run complex batch queries on the same transaction data for daily reporting. You need to design a data processing solution that can handle both real-time and batch processing of the transaction data while minimizing operational overhead and infrastructure management. What should you do?

Answer: A,D

Explanation:
Dataflow provides a fully managed way to process high-volume transaction streams in real time with minimal infrastructure management. BigQuery is a serverless analytics warehouse that is optimized for complex batch queries and daily reporting, eliminating the need to manage database or cluster infrastructure.


NEW QUESTION # 177
Your company has an application running on Google Cloud that is collecting data from thousands of physical devices that are globally distributed. Data is published to Pub/Sub and streamed in real time into an SSD Cloud Bigtable cluster via a Dataflow pipeline. The operations team informs you that your Cloud Bigtable cluster has a hotspot, and queries are taking longer than expected.
You need to resolve the problem and prevent it from happening in the future. What should you do?

Answer: C

Explanation:
https://cloud.google.com/bigtable/docs/schema-design#row-keys


NEW QUESTION # 178
Your company has hired an external auditing firm to perform a compliance audit. Your company's governance policy requires that external auditors be managed in a single Google Group that is granted temporary, read-only access to a Cloud Storage bucket named audit-evidence-bucket.
Access must be traceable to the individual auditor's identity and be active only for the duration of the audit engagement, which runs the entire month of October. You need a secure access control strategy that avoids administrative overhead and complies with your company's governance policy. What should you do?

Answer: B

Explanation:
Granting the Google Group read-only access with a time-based IAM Condition enforces least privilege automatically for the exact audit window without needing manual add/remove actions.
Because access is granted through individual user identities in the group, Cloud Audit Logs attribute activity to each auditor, satisfying traceability while minimizing administrative overhead.


NEW QUESTION # 179
......

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