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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

A) Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
B) Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
C) Use the WHERE_PARTITIONTIME pseudo column
D) Use the TABLE_DATE_RANGE function

2. 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) The Python code should be stored in a revision control system and modified as the incoming data's schema changes
E) Help the analysts write a Cloud Dataflow pipeline in Python to perform the transformatio
F) Merge the transformed tables together with a SQL query

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

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

4. MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

A) BigQuery and Cloud Bigtable
B) BigQuery and Cloud Storage
C) Cloud Datastore and Cloud Bigtable
D) Cloud Bigtable and Cloud SQL

5. Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

A) A sequential numeric ID
B) A stock symbol followed by a timestamp
C) A non-sequential numeric ID
D) A timestamp followed by a stock symbol

Solutions: