Question 1

An online brokerage company requires a high volume trade processing architecture. You need to create a secure queuing system that triggers jobs. The jobs will run in Google Cloud and cat the company's Python API to execute trades. You need to efficiently implement a solution. What should you do?

Options :

A : Use Cloud Composer to subscribe to a Pub/Sub tope and can the Python API.

B : Use a Pub/Sub push subscription to trigger a Cloud Function to pass the data to tie Python API.

C : Write an application that makes a queue in a NoSQL database

D : Write an application hosted on a Compute Engine instance that makes a push subscription to the Pub/Sub topic

Answer: C

Question 2

Your startup has a web application that currently serves customers out of a single region in Asia. You are

targeting funding that will allow your startup lo serve customers globally. Your current goal is to optimize for

cost, and your post-funding goat is to optimize for global presence and performance. You must use a native

JDBC driver. What should you do?

Options :

A : Use Cloud Spanner to configure a single region instance initially. and then configure multi-region C oud

Spanner instances after securing funding.

B : Use a Cloud SQL for PostgreSQL highly available instance first, and 8»gtable with US. Europe, and

Asia replication alter securing funding

C : Use a Cloud SQL for PostgreSQL zonal instance first and Bigtable with US. Europe, and Asia after

securing funding.

D : Use a Cloud SOL for PostgreSQL zonal instance first, and Cloud SOL for PostgreSQL with highly

available configuration after securing funding.

Answer: A

Question 3

Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

Options :

A : You expect to store at least 10 TB of data.

B : You will mostly run batch workloads with scans and writes, rather than frequently executing random reads of a small number of rows.

C : You need to integrate with Google BigQuery.

D : You will not use the data to back a user-facing or latency-sensitive application.

Answer: C

Question 4

You are designing the architecture of your application to store data in Cloud Storage. Your application consists of pipelines that read data from a Cloud Storage bucket that contains raw data, and write the data to a second bucket after processing. You want to design an architecture with Cloud Storage resources that are capable of being resilient if a Google Cloud regional failure occurs. You want to minimize the recovery point objective (RPO) if a failure occurs, with no impact on applications that use the stored data. What should you do?

Options :

A :

Adopt two regional Cloud Storage buckets, and update your application to write the output on both buckets.

B : Adopt multi-regional Cloud Storage buckets in your architecture.

C : Adopt two regional Cloud Storage buckets, and create a daily task to copy from one bucket to the other.

D : Adopt a dual-region Cloud Storage bucket, and enable turbo replication in your architecture.

Answer: D

Question 5

A insurance claim review company provides expert opinion on contested insurance claims. The company uses Google Cloud for it's data analysis pipelines. Clients of the company upload documents to Cloud Storage. When a file is uploaded, the company wants to immediately move the files to a Classified Data bucket if the file contains personally identifying information. What method would you recommend to accomplish this?

Options :

A : Create a quarantine bucket for uploading, once a file is uploaded trigger a Cloud Function to call a custom built machine learning model trained to detect PII. If PII is detected, move the file to the Classified Data bucket.

B : Create a quarantine bucket for uploading, once a file is uploaded trigger a Cloud Function to call the Data Loss Prevention API to apply infotypes to detect PII. If PII is detected, move file to the Classified Data bucket.

C : Create a quarantine bucket for uploading, use Cloud Scheduler to run a job to run hourly that will call a custom built machine learning model trained to detect PII. If PII is detected, move file to the Classified Data bucket.

D : Create a quarantine bucket for uploading, use Cloud Scheduler to run a job to run hourly that will call the Data Loss Prevention API to apply infotypes to detect PII. If PII is detected, move file to the Classified Data bucket.

Answer: B

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