Google Prof Cloud Archi - pt 3

The development team has provided you with a Kubernetes Deployment file. You have no infrastructure yet and need to deploy the application. What should you do?

• Use gcloud to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

• Use gcloud to create a Kubernetes cluster. Use kubectl to create the deployment.

• Use kubectl to create a Kubernetes cluster. Use Deployment Manager to create the deployment.

• Use kubectl to create a Kubernetes cluster. Use kubectl to create the deployment.

You need to evaluate your team readiness for a new GCP project. You must perform the evaluation and create a skills gap plan which incorporates the business goal of cost optimization. Your team has deployed two GCP projects successfully to date. What should you do?

• Allocate budget for team training. Set a deadline for the new GCP project.

• Allocate budget for team training. Create a roadmap for your team to achieve Google Cloud certification based on job role.

• Allocate budget to hire skilled external consultants. Set a deadline for the new GCP project.

• Allocate budget to hire skilled external consultants. Create a roadmap for your team to achieve Google Cloud certification based on job role.

You are designing an application for use only during business hours. For the minimum viable product release, you'd like to use a managed product that automatically scales to zero so you don't incur costs when there is no activity. Which primary compute resource should you choose?

• Cloud Functions

• Compute Engine

• Google Kubernetes Engine

• AppEngine flexible environment

You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?

• Create the Key object for each Entity and run a batch get operation

• Create the Key object for each Entity and run multiple get operations, one operation for each entity

• Use the identifiers to create a query filter and run a batch query operation

• Use the identifiers to create a query filter and run multiple query operations, one operation for each entity

You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?

• Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.

• Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.

• Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.

• Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.

Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?

• Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.

• Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.

• Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.

• Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.

You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also want to reliably deploy new versions of the application. Which set of steps should you take?

• Perform the following: 1. Create a managed instance group with f1-micro type machines. 2. Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app. 3. Restart the instances to automatically deploy new production releases.

• Perform the following: 1. Create a managed instance group with n1-standard-1 type machines. 2. Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app. 3. Rebuild the Compute Engine image, and update the instance template to deploy new production releases

• Perform the following: 1. Create a Google Kubernetes Engine (GKE) cluster with n1-standard-1 type machines. 2. Build a Docker image from the production branch with all of the dependencies, and tag it with the version number. 3. Create a Kubernetes Deployment with the imagePullPolicy set to 'IfNotPresent' in the staging namespace, and then promote it to the production namespace after testing.

• Perform the following: 1. Create a GKE cluster with n1-standard-4 type machines. 2. Build a Docker image from the master branch with all of the dependencies, and tag it with 'latest'. 3. Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to 'Always'. Restart the pods to automatically deploy new production releases.

Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?

• Use the Admin Directory API to authenticate against the Active Directory domain controller

• Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.

• Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.

• Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the on-premises AD domain controller using Google Cloud Directory Sync.

You are running a cluster on Kubernetes Engine (GKE) to serve a web application. Users are reporting that a specific part of the application is not responding anymore. You notice that all pods of your deployment keep restarting after 2 seconds. The application writes logs to standard output. You want to inspect the logs to find the cause of the issue. Which approach can you take?

• Review the Stackdriver logs for each Compute Engine instance that is serving as a node in the cluster.

• Review the Stackdriver logs for the specific GKE container that is serving the unresponsive part of the application.

• Connect to the cluster using gcloud credentials and connect to a container in one of the pods to read the logs.

• Review the Serial Port logs for each Compute Engine instance that is serving as a node in the cluster.

You are using a single Cloud SQL instance to serve your application from a specific zone. You want to introduce high availability. What should you do?

• Create a read replica instance in a different region

• Create a failover replica instance in a different region

• Create a read replica instance in the same region, but in a different zone

• Create a failover replica instance in the same region, but in a different zone