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Google Data Engineer Sample Questions:

1. You are implementing several batch jobs that must be executed on a schedule. These jobs have many interdependent steps that must be executed in a specific order. Portions of the jobs involve executing shell scripts, running Hadoop jobs, and running queries in BigQuery. The jobs are expected to run for many minutes up to several hours. If the steps fail, they must be retried a fixed number of times. Which service should you use to manage the execution of these jobs?

A) Cloud Scheduler
B) Cloud Dataflow
C) Cloud Composer
D) Cloud Functions

2. What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

A) Sessions
B) Triggers
C) OutputCriteria
D) Windows

3. You are building a new application that you need to collect data from in a scalable way. Data arrives continuously from the application throughout the day, and you expect to generate approximately 150 GB of JSON data per day by the end of the year. Your requirements are: Decoupling producer from consumer Space and cost-efficient storage of the raw ingested data, which is to be stored indefinitely Near real-time SQL query Maintain at least 2 years of historical data, which will be queried with SQ Which pipeline should you use to meet these requirements?

A) Create an application that provides an AP
B) Create an application that publishes events to Cloud Pub/Sub, and create a Cloud Dataflow pipeline that transforms the JSON event payloads to Avro, writing the data to Cloud Storage and BigQuery.
C) Write a tool to poll the API and write data to Cloud Storage as gzipped JSON files.
D) Set up periodic exports of the database to write to Cloud Storage and load into BigQuery.
E) Create an application that publishes events to Cloud Pub/Sub, and create Spark jobs on Cloud Dataproc to convert the JSON data to Avro format, stored on HDFS on Persistent Disk.
F) Create an application that writes to a Cloud SQL database to store the dat

4. You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A) Deploy the Cloud SQL Proxy on the Cloud Dataproc master
B) Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
C) Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
D) Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role

5. 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) Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
C) Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.
D) Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.

Solutions: