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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You are a retailer that wants to integrate your online sales capabilities with different in-home assistants, such as Google Home. You need to interpret customer voice commands and issue an order to the backend systems. Which solutions should you choose?

A) Cloud Natural Language API
B) Cloud AutoML Natural Language
C) Dialogflow Enterprise Edition
D) Cloud Speech-to-Text API

2. MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

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

3. Which of the following statements is NOT true regarding Bigtable access roles?

A) To give a user access to only one table in a project, grant the user the Bigtable Editor role for that table.
B) To give a user access to only one table in a project, you must configure access through your application.
C) You can configure access control only at the project level.
D) Using IAM roles, you cannot give a user access to only one table in a project, rather than all tables in a project.

4. You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?

A) Store the data in Google Cloud Datastor
B) Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
C) Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
D) Load the data every 30 minutes into a new partitioned table in BigQuery.
E) Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
F) Store the data in a file in a regional Google Cloud Storage bucke

5. Your company is loading comma-separated values (CSV) files into Google BigQuery. The data is fully imported successfully; however, the imported data is not matching byte-to-byte to the source file. What is the most likely cause of this problem?

A) The CSV data loaded in BigQuery is not using BigQuery's default encoding.
B) The CSV data has not gone through an ETL phase before loading into BigQuery.
C) The CSV data has invalid rows that were skipped on import.
D) The CSV data loaded in BigQuery is not flagged as CSV.

Solutions: