Professional-Cloud-Architect Practice Test

One of the developers on your team deployed their application In Google Container Engine with the
Dockerfile below. They report that their application deployments are taking too long.
You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's
functionality. Which two actions should you take? Choose 2 answers

A.

Remove Python after running pip.

B.

Remove dependencies from requirements.txt.

C.

Use a slimmed-down base image like Alpine linux.

D.

Use larger machine types for your Google Container Engine node pools.

E.

Copy the source after the package dependencies (Python and pip) are installed.

Your company has decided to make a major revision of their API in order to create better experiences for their
developers. They need to keep the old version of the API available and deployable, while allowing new
customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?

A.

Configure a new load balancer for the new version of the API.

B.

Reconfigure old clients to use a new endpoint for the new API.

C.

Have the old API forward traffic to the new API based on the path.

D.

Use separate backend pools for each API path behind the load balancer

Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a
day. Your business analysts have experience only with using a SQL interface. How should you store the data to optimize it for ease of analysis?

A.

Load data into Google BigQuery.

B.

Insert data into Google Cloud SQL.

C.

Put flat files into Google Cloud Storage.

D.

Stream data into Google Cloud Datastore.

A development manager is building a new application He asks you to review his requirements and identify
what cloud technologies he can use to meet them. The application must
1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

A.

Google Container Engine, Jenkins, and Helm

B.

Google Container Engine and Cloud Load Balancing

C.

Google Compute Engine and Cloud Deployment Manager

D.

Google Compute Engine, Jenkins, and Cloud Load Balancing

An application development team believes their current logging tool will not meet their needs for their new
cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log data.
You want to help them find a solution that meets their needs, what should you do?

A.

Direct them to download and install the Google StackDriver logging agent.

B.

Send them a list of online resources about logging best practices.

C.

Help them define their requirements and assess viable logging tools.

D.

Help them upgrade their current tool to take advantage of any new features.