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Google Data Engineer Sample Questions:

1. You are developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. You are under competitive pressure to add this feature quickly, and you have no additional developer resources. No one on your team has experience with machine learning. What should you do?

A) Process the generated Entity Analysis as labels.
B) Build and train a text classification model using TensorFlo
C) Call the Cloud Natural Language API from your applicatio
D) Deploy the model using a KubernetesEngine cluste
E) Process the generated Sentiment Analysis as labels.
F) Build and train a text classification model using TensorFlo
G) Call the Cloud Natural Language API from your applicatio
H) Deploy the model using Cloud Machine Learning Engin
I) Call the model from your application and process the results as labels.
J) Call the model from your application and process the results as labels.

2. By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A) Windows at every 10 minutes
B) Windows at every 100 MB of data
C) Windows at every 1 minute
D) Single, Global Window

3. Which is not a valid reason for poor Cloud Bigtable performance?

A) The workload isn't appropriate for Cloud Bigtable.
B) The table's schema is not designed correctly.
C) There are issues with the network connection.
D) The Cloud Bigtable cluster has too many nodes.

4. Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

A) Increase your network bandwidth from your datacenter to GCP.
B) Increase your network bandwidth from Compute Engine to Cloud Storage.
C) Increase the size of the Google Persistent Disk on your server.
D) Increase the CPU size on your server.

5. An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?

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

Solutions: