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Google Data Engineer Sample Questions:

1. What are all of the BigQuery operations that Google charges for?

A) Storage, queries, and loading data from a file
B) Queries and streaming inserts
C) Storage, queries, and exporting data
D) Storage, queries, and streaming inserts

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

3. Which of the following is NOT true about Dataflow pipelines?

A) Dataflow pipelines can be programmed in Java
B) Dataflow pipelines can consume data from other Google Cloud services
C) Dataflow pipelines use a unified programming model, so can work both with streaming and batch data sources
D) Dataflow pipelines are tied to Dataflow, and cannot be run on any other runner

4. You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this dat a. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? Choose 2 answers.

A) Denormalize the data as must as possible.
B) Preserve the structure of the data as much as possible.
C) Use BigQuery'ssupport for external data sources to query.
D) Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil
E) Use BigQuery UPDATE to further reduce the size of the dataset.
F) Develop a data pipeline where status updates are appended to BigQuery instead of updated.

5. What are the minimum permissions needed for a service account used with Google Dataproc?

A) Read and write to Google Cloud Storage; write to Google Cloud Logging
B) Execute to Google Cloud Storage; execute to Google Cloud Logging
C) Write to Google Cloud Storage; read to Google Cloud Logging
D) Execute to Google Cloud Storage; write to Google Cloud Logging

Solutions: