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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Analyze and optimize technical and business processes	- Optimize cost and resource usage - Monitor, log, and optimize system performance
Design and plan a cloud solution architecture	- Design Google Cloud solutions based on business requirements - Design for reliability, scalability, and availability - Plan security and compliance requirements
Design for security and compliance	- Implement identity and access management (IAM) - Configure data protection and encryption
Manage implementations of cloud architecture	- Manage deployment and production systems - Ensure solution reliability and operational excellence
Manage and provision the solution infrastructure	- Provision compute, storage, and network resources - Automate infrastructure deployment

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q101-Q106):

NEW QUESTION # 101
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. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize CLUSTER_NAME --size 10
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. 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.

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 # 102
Dress4Win would like to become familiar with deploying applications to the cloud by successfully deploying
some applications quickly, as is. They have asked for your recommendation.
What should you advise?

A. Identify enterprise applications with internal dependencies and recommend these as a first move to the
cloud.
B. Recommend moving their message queuing servers to the cloud and continue handling requests to on-
premise applications.
C. Suggest moving their in-house databases to the cloud and continue serving requests to on-premise
applications.
D. Identify self-contained applications with external dependencies as a first move to the cloud.

Answer: C

NEW QUESTION # 103
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

A. Cloud Deployment Manager can be used to permanently delete cloud resources.
B. Cloud Deployment Manager is unfamiliar to the company's engineers.
C. Cloud Deployment Manager requires a Google APIs service account to run.
D. Cloud Deployment Manager only supports automation of Google Cloud resources.
E. Cloud Deployment Manager uses Python.
F. Cloud Deployment Manager APIs could be deprecated in the future.

Answer: A,D

NEW QUESTION # 104
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options.
These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in.
Which technology should they use for this?

A. Google Container Engine with Bigtable
B. Google Cloud Dataflow
C. Google Cloud Dataproc
D. Google Compute Engine with Google BigQuery

Answer: B

Explanation:
Explanation/Reference:
Explanation:
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
References: https://cloud.google.com/dataflow/

NEW QUESTION # 105
For this question, refer to the Dress4Win case study.
As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load. They want to ensure that:
* The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day
* Their administrators are notified automatically when their application reports errors.
* They can filter their aggregated logs down in order to debug one piece of the application across many hosts Which Google StackDriver features should they use?

A. Monitoring, Logging, Debug, Error Report
B. Monitoring, Logging, Alerts, Error Reporting
C. Monitoring, Trace, Debug, Logging
D. Logging, Alerts, Insights, Debug

Answer: B

NEW QUESTION # 106
......

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