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Snowflake SnowPro Advanced: Data Architect (ADA-C01)

By Webmaster Certland English 📝 340 questions ❤️ 0 likes

Practice exam for the Snowflake SnowPro Advanced: Data Architect certification. Covers data movement, performance optimization, storage and data lifecycle, security and governance, and data pipelines.

⭐ Premium Updated Mar 2026

Unlock all 340 Snowflake SnowPro Advanced: Data Architect (ADA-C01) questions

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Sample Questions — Snowflake SnowPro Advanced: Data Architect (ADA-C01)

5 free sample questions from this practice exam. Correct answers are highlighted.

1. A data engineer needs to load CSV files from an S3 stage into a Snowflake table. Some files contain rows that violate the table constraints. The engineer wants the load to continue for valid rows and skip invalid ones without failing the entire COPY INTO command. Which ON_ERROR option should be used?

A ABORT_STATEMENT
B CONTINUE ✓ Correct
C SKIP_FILE
D SKIP_FILE_10

2. A data architect needs to create a Snowpipe that will automatically ingest files as they arrive in an Amazon S3 bucket. Which parameter must be included in the CREATE PIPE statement to enable event-based automatic ingestion?

A ENABLE_STREAMING = TRUE
B AUTO_INGEST = TRUE ✓ Correct
C NOTIFICATION_ENABLED = TRUE
D CONTINUOUS_LOAD = TRUE

3. A data engineer notices that a query against a large Snowflake table takes 45 seconds. When examining the query profile in Snowsight, they see that 80% of the time is spent in the 'TableScan' node and the bytes spilled to local disk metric is zero. What is the most likely cause of the slow performance?

A The virtual warehouse is too small for the data volume
B The table's clustering does not align with the query filter columns, causing excessive partition scans ✓ Correct
C The result cache was invalidated and the query is re-executing from scratch
D Query compilation time is dominating the overall execution time

4. A Snowflake query profile shows high 'Bytes spilled to remote disk' for a complex aggregation query. Which action will most directly reduce remote disk spillage?

A Increase the virtual warehouse size to provide more memory and local SSD capacity ✓ Correct
B Add a clustering key on the table's primary filter column
C Enable the Search Optimization Service on the table
D Suspend and resume the virtual warehouse to clear the local disk cache

5. A data architect at a retail company notices that queries against a 10 TB sales table are performing slowly despite adequate warehouse sizing. The table is partitioned by micro-partitions, and the queries filter on the ORDER_DATE column. The architect observes that the SYSTEM$CLUSTERING_INFORMATION function reports a high average overlap depth. What is the MOST likely root cause of the slow query performance?

A Individual micro-partitions have grown beyond the 500 MB uncompressed size limit, causing excessive I/O
B The ORDER_DATE values are spread across many micro-partitions with overlapping ranges, preventing effective data skipping ✓ Correct
C The search optimization service has not been enabled on the table, so point lookups on ORDER_DATE are unoptimized
D The virtual warehouse is too small to process the 10 TB table and must be scaled up to at least an XL size

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Information

Questions 340
Time 1h 55min
Difficulty Hard
Minimum Score 75.00%


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Official exam $375.00
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