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Google Associate Cloud Engineer Exam Sample Questions (Q175-Q180):
NEW QUESTION # 175
You have created an application that is packaged into a Docker image. You want to deploy the Docker image as a workload on Google Kubernetes Engine. What should you do?
- A. Upload the image to Cloud Storage and create a Kubernetes Deployment referencing the image
- B. Upload the image to Container Registry and create a Kubernetes Service referencing the image.
- C. Upload the image to Cloud Storage and create a Kubernetes Service referencing the image
- D. Upload the image to Container Registry and create a Kubernetes Deployment referencing the mage
Answer: D
Explanation:
Upload your docker image on container registry then give a ref while creating deployment.
NEW QUESTION # 176
Your organization has a dedicated person who creates and manages all service accounts for Google Cloud projects. You need to assign this person the minimum role for projects. What should you do?
- A. Add the user to roles/iam.serviceAccountAdmin role.
- B. Add the user to roles/iam.roleAdmin role.
- C. Add the user to roles/iam.securityAdmin role.
- D. Add the user to roles/iam.serviceAccountUser role.
Answer: D
Explanation:
Reference:
https://cloud.google.com/iam/docs/creating-managing-service-accounts
NEW QUESTION # 177
Your company processes high volumes of IoT data that are time-stamped. The total data volume can be several petabytes. The data needs to be written and changed at a high speed. You want to use the most performant storage option for your data. Which product should you use?
- A. Cloud Bigtable
- B. BigQuery
- C. Cloud Datastore
- D. Cloud Storage
Answer: A
Explanation:
A is not correct because Cloud Datastore is not the most performant product for frequent writes or timestamp-based queries.
B is not correct because Cloud Storage stores blobs, which cannot be queried.
C is correct because Cloud Bigtable is the most performant storage option to work with IoT and time series data.
D is not correct because although it can store the data, BigQuery is very slow at changing data.
https://cloud.google.com/bigtable/docs/schema-design-time-series
NEW QUESTION # 178
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around 2 hours to complete and are run nightly. You want to minimize service costs.
What should you do?
- A. Select Compute Engine. Use VM instance types that support micro bursting.
- B. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
- C. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
- D. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
Answer: B
Explanation:
For example, batch processing jobs can run on preemptible instances. If some of those instances stop during processing, the job slows but does not completely stop. Preemptible instances complete your batch processing tasks without placing additional workload on your existing instances and without requiring you to pay full price for additional normal instances.
https://cloud.google.com/compute/docs/instances/preemptible
NEW QUESTION # 179
You need to update a deployment in Deployment Manager without any resource downtime in the deployment. Which command should you use?
- A. gcloud deployment-manager deployments update --config <deployment-config- path>
- B. gcloud deployment-manager deployments create --config <deployment-config- path>
- C. gcloud deployment-manager resources create --config <deployment-config-path>
- D. gcloud deployment-manager resources update --config <deployment-config-path>
Answer: A
Explanation:
Update and create resource is not even a command under deployment management service.
https://cloud.google.com/sdk/gcloud/reference/deployment-manager/deployments/update
NEW QUESTION # 180
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