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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. Cloud Dataproc is a managed Apache Hadoop and Apache service.

A) Ignite
B) Fire
C) Blaze
D) Spark

2. You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?

A) Set the BigQuery dataset to be regiona
B) In the event of an emergency, use a point-in-time snapshot to recover the data.
C) In the event of an emergency, use the backup copy of the table.
D) Set the BigQuery dataset to be multi-regional
E) Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
F) Set the BigQuery dataset to be multi-regional
G) Create a scheduled query to make copies of the data to tables suffixed with the time of the backu
H) In the event of an emergency, use a point-in-time snapshot to recover the data.
I) In the event of an emergency, use the backup copy of the table.
J) Set the BigQuery dataset to be regiona

3. Which of these sources can you not load data into BigQuery from?

A) File upload
B) Google Cloud SQL
C) Google Drive
D) Google Cloud Storage

4. You work for a manufacturing company that sources up to 750 different components, each from a different supplier. You've collected a labeled dataset that has on average 1000 examples for each unique component. Your team wants to implement an app to help warehouse workers recognize incoming components based on a photo of the component. You want to implement the first working version of this app (as Proof-Of-Concept) within a few working days. What should you do?

A) Use Cloud Vision AutoML, but reduce your dataset twice.
B) Train your own image recognition model leveraging transfer learning techniques.
C) Use Cloud Vision AutoML with the existing dataset.
D) Use Cloud Vision API by providing custom labels as recognition hints.

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

Solutions: