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Google Data Engineer Sample Questions:

1. You receive data files in CSV format monthly from a third party. You need to cleanse this data, but every third month the schema of the files changes. Your requirements for implementing these transformations include:
Executing the transformations on a schedule
Enabling non-developer analysts to modify transformations
Providing a graphical tool for designing transformations
What should you do?

A) Use Apache Spark on Cloud Dataproc to infer the schema of the CSV file before creating a Dataframe.Then implement the transformations in Spark SQL before writing the data out to Cloud Storage and loading into BigQuery
B) Load each month's CSV data into BigQuery, and write a SQL query to transform the data to a standard scheme
C) Use Cloud Dataprep to build and maintain the transformation recipes, and execute them on a scheduled basis
D) Help the analysts write a Cloud Dataflow pipeline in Python to perform the transformatio
E) Merge the transformed tables together with a SQL query
F) The Python code should be stored in a revision control system and modified as the incoming data's schema changes

2. You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A) Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.
B) Create an authorized view in BigQuery to restrict access to tables with sensitive data.
C) Build a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention AP
D) Install a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.
E) Use Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.

3. What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

A) Triggers
B) OutputCriteria
C) Windows
D) Sessions

4. When a Cloud Bigtable node fails, is lost.

A) the last transaction
B) all data
C) the time dimension
D) no data

5. Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?

A) Change "person" to "city.person".
B) Add ", UNNEST(person)" before the WHERE clause.
C) Change "person" to "person.city".
D) Add ", UNNEST(city)" before the WHERE clause.

Solutions: