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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

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

2. You work for a global shipping company. You want to train a model on 40 TB of data to predict which ships in each geographic region are likely to cause delivery delays on any given day. The model will be based on multiple attributes collected from multiple sources. Telemetry data, including location in GeoJSON format, will be pulled from each ship and loaded every hour. You want to have a dashboard that shows how many and which ships are likely to cause delays within a region. You want to use a storage solution that has native functionality for prediction and geospatial processing. Which storage solution should you use?

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

3. You are integrating one of your internal IT applications and Google BigQuery, so users can query BigQuery from the application's interface. You do not want individual users to authenticate to BigQuery and you do not want to give them access to the dataset. You need to securely access BigQuery from your IT application.
What should you do?

A) Use the service account's private key to access the dataset
B) Create a service account and grant dataset access to that accoun
C) Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
D) Create a dummy user and grant dataset access to that use
E) Create groups for your users and give those groups access to the dataset
F) Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset

4. Which of these is not a supported method of putting data into a partitioned table?

A) Create a partitioned table and stream new records to it every day.
B) If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.
C) Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".
D) Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".

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

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

Solutions: