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Google Data Engineer Sample Questions:

1. You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this dat a. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? Choose 2 answers.

A) Use BigQuery UPDATE to further reduce the size of the dataset.
B) Develop a data pipeline where status updates are appended to BigQuery instead of updated.
C) Denormalize the data as must as possible.
D) Use BigQuery'ssupport for external data sources to query.
E) Preserve the structure of the data as much as possible.
F) Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil

2. Which of these sources can you not load data into BigQuery from?

A) File upload
B) Google Cloud SQL
C) Google Cloud Storage
D) Google Drive

3. For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?

A) Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
B) Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
C) Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
D) Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.

4. Which of these is not a supported method of putting data into a partitioned table?

A) If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.
B) Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".
C) Create a partitioned table and stream new records to it every day.
D) Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".

5. What are all of the BigQuery operations that Google charges for?

A) Storage, queries, and streaming inserts
B) Storage, queries, and exporting data
C) Queries and streaming inserts
D) Storage, queries, and loading data from a file

Solutions: