Associate-Cloud-Engineer최신업데이트버전인증시험자료 - Associate-Cloud-Engineer적중율높은시험덤프공부

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시험은 객관식 및 다중 선택 질문으로 구성되며 응시자는 시험을 완료하는 데 2 시간이 걸립니다. 이 시험은 Compute Engine, App Engine, Cloud Storage, Cloud SQL, Cloud DataStore, Cloud Spanner, Cloud Pub/Sub 및 클라우드 기능과 같은 Google 클라우드 플랫폼 서비스에 대한 후보자의 지식을 테스트합니다.

최신 Google Cloud Certified Associate-Cloud-Engineer 무료샘플문제 (Q188-Q193):

질문 # 188
Your company has a single sign-on (SSO) identity provider that supports Security Assertion Markup Language (SAML) integration with service providers. Your company has users in Cloud Identity. You would like users to authenticate using your company's SSO provider. What should you do?

A. In Cloud Identity, set up SSO with a third-party identity provider with Google as a service provider.
B. In Cloud Identity, set up SSO with Google as an identity provider to access custom SAML apps.
C. Obtain OAuth 2.0 credentials, configure the user consent screen, and set up OAuth 2.0 for Mobile & Desktop Apps.
D. Obtain OAuth 2.0 credentials, configure the user consent screen, and set up OAuth 2.0 for Web Server Applications.

정답：A

설명：
Explanation
https://support.google.com/cloudidentity/answer/6262987?hl=en&ref_topic=7558767

질문 # 189
You need to configure IAM access audit logging in BigQuery for external auditors. You want to follow Google-recommended practices. What should you do?

A. Add the auditor user accounts to two new custom IAM roles.
B. Add the auditor user accounts to the 'logging.viewer' and 'bigQuery.dataViewer' predefined IAM roles.
C. Add the auditors group to the 'logging.viewer' and 'bigQuery.dataViewer' predefined IAM roles.
D. Add the auditors group to two new custom IAM roles.

정답：C

설명：
Explanation
https://cloud.google.com/iam/docs/job-functions/auditing#scenario_external_auditors Because if you directly add users to the IAM roles, then if any users left the organization then you have to remove the users from multiple places and need to revoke his/her access from multiple places. But, if you put a user into a group then its very easy to manage these type of situations. Now, if any user left then you just need to remove the user from the group and all the access got revoked The organization creates a Google group for these external auditors and adds the current auditor to the group.
This group is monitored and is typically granted access to the dashboard application. During normal access, the auditors' Google group is only granted access to view the historic logs stored in BigQuery. If any anomalies are discovered, the group is granted permission to view the actual Cloud Logging Admin Activity logs via the dashboard's elevated access mode. At the end of each audit period, the group's access is then revoked. Data is redacted using Cloud DLP before being made accessible for viewing via the dashboard application. The table below explains IAM logging roles that an Organization Administrator can grant to the service account used by the dashboard, as well as the resource level at which the role is granted.

질문 # 190
You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-systemnamespace of the cluster. You want a solution that uses the fewest possible services. What should you do?

A. Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.
B. With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectlto create the DaemonSet.
C. In the cluster's definition in Deployment Manager, add a metadata that has kube-systemas key and the DaemonSet manifest as value.
D. Add the cluster's API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.

정답：B

설명：
Explanation/Reference: https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl

질문 # 191
You are planning to migrate the following on-premises data management solutions to Google Cloud:
* One MySQL cluster for your main database
* Apache Kafka for your event streaming platform
* One Cloud SOL for PostgreSOL database for your analytical and reporting needs You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management. What should you do?

A. Migrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL
B. Migrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub. and from Cloud SQL for PostgreSQL to BigQuery
C. Migrate from MySQL to Cloud SOL, from Kafka to Pub/Sub, and from Cloud SOL for PostgreSQL to BigQuery.
D. Migrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SOL for PostgreSQL to Cloud SQL

정답：B

질문 # 192
You are running an application on multiple virtual machines within a managed instance group and have autoscaling enabled. The autoscaling policy is configured so that additional instances are added to the group if the CPU utilization of instances goes above 80%. VMs are added until the instance group reaches its maximum limit of five VMs or until CPU utilization of instances lowers to 80%. The initial delay for HTTP health checks against the instances is set to 30 seconds. The virtual machine instances take around three minutes to become available for users. You observe that when the instance group autoscales, it adds more instances then necessary to support the levels of end-user traffic. You want to properly maintain instance group sizes when autoscaling. What should you do?

A. Set the maximum number of instances to 1.
B. Increase the initial delay of the HTTP health check to 200 seconds.
C. Use a TCP health check instead of an HTTP health check.
D. Decrease the maximum number of instances to 3.

정답：B

설명：
The reason is that when you do health check, you want the VM to be working. Do the first check after initial setup time of 3 mins = 180 s < 200 s is reasonable.
The reason why our autoscaling is adding more instances than needed is that it checks 30 seconds after launching the instance and at this point, the instance isnt up and isnt ready to serve traffic. So our autoscaling policy starts another instance again checks this after 30 seconds and the cycle repeats until it gets to the maximum instances or the instances launched earlier are healthy and start processing traffic which happens after 180 seconds (3 minutes). This can be easily rectified by adjusting the initial delay to be higher than the time it takes for the instance to become available for processing traffic.So setting this to 200 ensures that it waits until the instance is up (around 180-second mark) and then starts forwarding traffic to this instance.
Even after a cool out period, if the CPU utilization is still high, the autoscaler can again scale up but this scale- up is genuine and is based on the actual load.
Initial Delay Seconds This setting delays autohealing from potentially prematurely recreating the instance if the instance is in the process of starting up. The initial delay timer starts when the currentAction of the instance is VERIFYING.
Ref: https://cloud.google.com/compute/docs/instance-groups/autohealing-instances-in-migs

질문 # 193
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