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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
The user profile: What the user likes and doesn't like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schem a. Which Google Cloud Platform product should you use?

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

2. You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

A) Add a ParDo transform in Cloud Dataflow to discard corrupt elements.
B) Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data.
C) Add a SideInput that returns a Boolean if the element is corrupt.
D) Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.

3. 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 Functions
C) Cloud Composer
D) Cloud Dataflow

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

5. What are two methods that can be used to denormalize tables in BigQuery?

A) 1) Use nested repeated fields; 2) Use a partitioned table
B) 1) Join tables into one table; 2) Use nested repeated fields
C) 1) Split table into multiple tables; 2) Use a partitioned table
D) 1) Use a partitioned table; 2) Join tables into one table

Solutions: