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Google Data Engineer Sample Questions:

1. You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name Passing Certification Exams Made Easy visit - https://www.2PassEasy.com from the data source and then write to an output PCollection.
Tom,555 X street Tim,553 Y street Sam, 111 Z street
Which operation is best suited for the above data processing requirement?

A) Data extraction
B) ParDo
C) Sink API
D) Source API

2. You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?

A) Cloud SQL
B) Cloud Datastore
C) Cloud Bigtable
D) BigQuery

3. Which of these rules apply when you add preemptible workers to a Dataproc cluster (select 2 answers)?

A) Preemptible workers cannot store data.
B) Preemptible workers cannot use persistent disk.
C) A Dataproc cluster cannot have only preemptible workers.
D) If a preemptible worker is reclaimed, then a replacement worker must be added manually.

4. You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?

A) Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.
B) Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.
C) Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
D) Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.

5. You are building a new data pipeline to share data between two different types of applications: jobs generators and job runners. Your solution must scale to accommodate increases in usage and must accommodate the addition of new applications without negatively affecting the performance of existing ones. What should you do?

A) Create an API using App Engine to receive and send messages to the applications
B) Create a table on Cloud Spanner, and insert and delete rows with the job information
C) Create a table on Cloud SQL, and insert and delete rows with the job information
D) Use a Cloud Pub/Sub topic to publish jobs, and use subscriptions to execute them

Solutions: