Course Management

Question 1. What is count of records for the 2024 Yellow Taxi Data? (1 point)

65,623

840,402

20,332,093

85,431,289

Question 2. What is the estimated amount of data that will be read when this query is executed on the External Table and the Table? (1 point)

18.82 MB for the External Table and 47.60 MB for the Materialized Table

0 MB for the External Table and 155.12 MB for the Materialized Table

2.14 GB for the External Table and 0MB for the Materialized Table

0 MB for the External Table and 0MB for the Materialized Table

Question 3. Why are the estimated number of Bytes different? (1 point)

BigQuery is a columnar database, and it only scans the specific columns requested in the query. Querying two columns (PULocationID, DOLocationID) requires reading more data than querying one column (PULocationID), leading to a higher estimated number of bytes processed.

BigQuery duplicates data across multiple storage partitions, so selecting two columns instead of one requires scanning the table twice, doubling the estimated bytes processed.

BigQuery automatically caches the first queried column, so adding a second column increases processing time but does not affect the estimated bytes scanned.

When selecting multiple columns, BigQuery performs an implicit join operation between them, increasing the estimated bytes processed

Question 4. How many records have a fare_amount of 0? (1 point)

128,210

546,578

20,188,016

8,333

Question 5. What is the best strategy to make an optimized table in Big Query if your query will always filter based on tpep_dropoff_datetime and order the results by VendorID (Create a new table with this strategy) (1 point)

Partition by tpep_dropoff_datetime and Cluster on VendorID

Cluster on by tpep_dropoff_datetime and Cluster on VendorID

Cluster on tpep_dropoff_datetime Partition by VendorID

Partition by tpep_dropoff_datetime and Partition by VendorID

Question 6. Write a query to retrieve the distinct VendorIDs between tpep_dropoff_datetime 2024-03-01 and 2024-03-15 (inclusive). Use the materialized table you created earlier in your from clause and note the estimated bytes. Now change the table in the from clause to the partitioned table you created for question 5 and note the estimated bytes processed. What are these values? (1 point)

12.47 MB for non-partitioned table and 326.42 MB for the partitioned table

310.24 MB for non-partitioned table and 26.84 MB for the partitioned table

5.87 MB for non-partitioned table and 0 MB for the partitioned table

310.31 MB for non-partitioned table and 285.64 MB for the partitioned table

Question 7. Where is the data stored in the External Table you created? (1 point)

Big Query

Container Registry

GCP Bucket

Big Table

Question 8. It is best practice in Big Query to always cluster your data: (1 point)

True

False

Question 9. Write a `SELECT count(*)` query FROM the materialized table you created. How many bytes does it estimate will be read? Why? (not graded)

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Homework 3: Data Warehousing for Data Engineering Zoomcamp 2026

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