Google GCP-DE : Data Engineer

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?

A) Run your test for at least 10 minutes.
B) Do not use a production instance.
C) Use at least 300 GB of data.
D) Before you test, run a heavy pre-test for several minutes.

2. Which Google Cloud Platform service is an alternative to Hadoop with Hive?

A) BigQuery
B) Cloud Dataflow
C) Cloud Bigtable
D) Cloud Datastore

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

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

4. You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?

A) Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName.
B) Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table, concatenates the FirstName value and LastName value for each user, and loads the proper values for FirstName, LastName, and FullName into a new table in BigQuery.
C) Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values.
D) Use BigQuery to export the data for the table to a CSV fil
E) Add a new column called FullName to the Users tabl
F) Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastName and FullNam G. Run a BigQuery load job to load the new CSV file into BigQuery.

5. 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) BigQuery
B) Cloud SQL for PostgreSQL
C) Cloud Bigtable
D) Cloud Datastore

Solutions: