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Die Google Associate-Cloud-Engineer-Prüfung ist eine 2-stündige begleitete Prüfung, die aus 50 Multiple-Choice- und Multiple-Select-Fragen besteht. Die Prüfung kann persönlich in einem Testzentrum oder online von zu Hause oder aus dem Büro heraus abgelegt werden. Kandidaten müssen mindestens 70% erreichen, um die Prüfung zu bestehen und ihre Zertifizierung zu erhalten.

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Associate-Cloud-Engineer Zertifizierung & Associate-Cloud-Engineer Testing Engine

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Die Erlangung der Google Associate Cloud Engineer-Zertifizierung kann für Fachleute in der Cloud-Computing-Branche eine bedeutende Leistung sein. Es zeigt ihre Expertise im Umgang mit Google Cloud-Technologien und kann neue Möglichkeiten für eine Karriereentwicklung eröffnen. Darüber hinaus kann es Organisationen helfen, Personen zu identifizieren, die die Fähigkeiten und Kenntnisse zur effektiven Verwaltung von Cloud-Lösungen unter Verwendung von Google Cloud-Technologien besitzen.

Die Google Associate-Cloud-Engineer-Prüfung ist eine Zertifizierungsprüfung von Google, die das Wissen und die Fähigkeiten einer Person im Bereich Cloud Computing testet. Die Prüfung zielt darauf ab, die Fähigkeit des Prüfungsteilnehmers zur Bereitstellung und Verwaltung von Google Cloud Platform (GCP) Diensten, einschließlich Computing, Speicherung, Netzwerk und Sicherheit zu bewerten. Die Prüfung richtet sich an Personen, die Erfahrung im Bereich Cloud Computing haben und ihre Fähigkeiten und Kenntnisse validieren möchten.

Google Associate Cloud Engineer Exam Associate-Cloud-Engineer Prüfungsfragen mit Lösungen (Q230-Q235):

230. Frage
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

A. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery jobUser role to the group.
B. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery dataViewer user role to the group.
C. 1. Create an IAM entry for each data scientist's user account.2. Assign the BigQuery dataViewer user role to the group.
D. 1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist's user account to the group.3. Assign the BigQuery jobUser role to the group.

Antwort: D

Begründung:
Read the dataset's metadata and to list tables in the dataset. Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
BigQuery Data Viewer
(roles/bigquery.dataViewer)
When applied to a table or view, this role provides permissions to:
Read data and metadata from the table or view.
This role cannot be applied to individual models or routines.
When applied to a dataset, this role provides permissions to:
Read the dataset's metadata and list tables in the dataset.
Read data and metadata from the dataset's tables.
When applied at the project or organization level, this role can also enumerate all datasets in the project.
Additional roles, however, are necessary to allow the running of jobs.
Lowest-level resources where you can grant this role:
Table
View
BigQuery Job User
(roles/bigquery.jobUser)
Provides permissions to run jobs, including queries, within the project.
Lowest-level resources where you can grant this role:
Project
to run jobs https://cloud.google.com/bigquery/docs/access-control#bigquery.jobUser databaseUser needs additional role permission to run jobshttps://cloud.google.com/spanner/docs/iam#spanner.databaseUser

231. Frage
You are operating a Google Kubernetes Engine (GKE) cluster for your company where different teams can run non-production workloads. Your Machine Learning (ML) team needs access to Nvidia Tesla P100 GPUs to train their models. You want to minimize effort and cost. What should you do?

A. Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs. Dedicate this cluster to your ML team.
B. Add a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the cloud.google.com/gke -accelerator: nvidia-tesla-p100 nodeSelector to their pod specification.
C. Recreate all the nodes of the GKE cluster to enable GPUs on all of them.
D. Ask your ML team to add the "accelerator: gpu" annotation to their pod specification.

Antwort: B

Begründung:
This is the most optimal solution. Rather than recreating all nodes, you create a new node pool with GPU enabled. You then modify the pod specification to target particular GPU types by adding node selector to your workloads Pod specification. YOu still have a single cluster so you pay Kubernetes cluster management fee for just one cluster thus minimizing the cost. Ref: https://cloud.google.com/kubernetes-engine/docs/how-to/gpus Ref: https://cloud.google.com/kubernetes-engine/pricing Example:
apiVersion: v1
kind: Pod
metadata:
name: my-gpu-pod
spec:
containers:
name: my-gpu-container
image: nvidia/cuda:10.0-runtime-ubuntu18.04
command: [/bin/bash]
resources:
limits:
nvidia.com/gpu: 2
nodeSelector:
cloud.google.com/gke-accelerator: nvidia-tesla-k80 # or nvidia-tesla-p100 or nvidia-tesla-p4 or nvidia-tesla-v100 or nvidia-tesla-t4

232. Frage
You created several resources in multiple Google Cloud projects. All projects are linked to different billing accounts. To better estimate future charges, you want to have a single visual representation of all costs incurred. You want to include new cost data as soon as possible. What should you do?

A. Visit the Cost Table page to get a CSV export and visualize it using Data Studio.
B. Fill all resources in the Pricing Calculator to get an estimate of the monthly cost.
C. Configure Billing Data Export to BigQuery and visualize the data in Data Studio.
D. Use the Reports view in the Cloud Billing Console to view the desired cost information.

Antwort: C

Begründung:
You can combine all to a single BigQuery using service account, and then push it to DataStudio for analytics.

233. Frage
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

A. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2. Create a Cloud Function that deletes snapshots that are older than 30 days.
3. Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
B. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
- Schedule frequency: Daily
- Start time: 1:00 AM - 2:00 AM
- Autodelete snapshots after 30 days
C. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2. Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3. Configure the instance's crontab to execute these scripts daily at 1:00 AM.
D. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30

Antwort: B

234. Frage
Your organization has strict requirements to control access to Google Cloud projects. You need to enable your Site Reliability Engineers (SREs) to approve requests from the Google Cloud support team when an SRE opens a support case. You want to follow Google-recommended practices. What should you do?

A. Add your SREs to roles/iam.roleAdmin role.
B. Add your SREs to roles/accessapproval approver role.
C. Add your SREs to a group and then add this group to roles/iam roleAdmin role.
D. Add your SREs to a group and then add this group to roles/accessapproval approver role.

Antwort: D

235. Frage
......

Associate-Cloud-Engineer Zertifizierung: https://www.zertpruefung.de/Associate-Cloud-Engineer_exam.html

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