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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You are responsible for writing your company's ETL pipelines to run on an Apache Hadoop cluster. The pipeline will require some checkpointing and splitting pipelines. Which method should you use to write the pipelines?

A) HiveQL using Hive
B) Java using MapReduce
C) PigLatin using Pig
D) Python using MapReduce

2. Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

A) Create an additional table with only the necessary columns.
B) Create a view on the table to present to the virtualization tool.
C) Export the data into a Google Sheet for virtualization.
D) Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.

3. You are running a pipeline in Cloud Dataflow that receives messages from a Cloud Pub/Sub topic and writes the results to a BigQuery dataset in the EU. Currently, your pipeline is located in europe-west4 and has a maximum of 3 workers, instance type n1-standard-1. You notice that during peak periods, your pipeline is struggling to process records in a timely fashion, when all 3 workers are at maximum CPU utilization. Which two actions can you take to increase performance of your pipeline? (Choose two.)

A) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Spanner to BigQuery
B) Create a new step in your pipeline to write to this table first, and then create a new pipeline to write from Cloud Bigtable to BigQuery
C) Create a temporary table in Cloud Bigtable that will act as a buffer for new data
D) Create a temporary table in Cloud Spanner that will act as a buffer for new data
E) Change the zone of your Cloud Dataflow pipeline to run in us-central1
F) Increase the number of max workers
G) Use a larger instance type for your Cloud Dataflow workers

4. You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?

A) Cloud SQL
B) Cloud Bigtable
C) Cloud Datastore
D) Cloud Spanner

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

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

Solutions: