DAA-C01 Reliable Exam Vce - Authorized DAA-C01 Exam Dumps

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Snowflake SnowPro Advanced: Data Analyst Certification Exam Sample Questions (Q16-Q21):

NEW QUESTION # 16
When performing a diagnostic analysis, what action aids in identifying demographics and relationships? (Select all that apply)

Answer: A,C

Explanation:
Analyzing statistical trends and collecting related data are crucial in identifying demographics and relationships in diagnostic analysis.


NEW QUESTION # 17
What considerations are crucial when performing table joins between parent/child tables for maintaining data integrity? (Select all that apply)

Answer: A,B,C

Explanation:
Table joins require considerations such as matching data types, establishing foreign key constraints, and ensuring referential integrity for data integrity maintenance.


NEW QUESTION # 18
Which action aids in performing a diagnostic analysis on historical data to identify reasons/causes of anomalies?

Answer: B

Explanation:
Collecting related data and demographics is crucial in understanding the reasons/causes of anomalies in historical data.


NEW QUESTION # 19
Consider a Snowflake table 'USER EVENTS' with a 'VARIANT' column named 'event_data' containing JSON objects representing user activity. The JSON structure varies significantly across rows. You need to extract all the distinct event types from this data'. Which of the following Snowflake queries is the most efficient way to achieve this, handling potential null or missing 'event_type' fields gracefully and avoiding errors? Assume the volume of data is very large.

Answer: E

Explanation:
Option C, using , is the most efficient and robust solution. attempts to convert the JSON value to a string and returns NULL if the conversion fails (e.g., if is an object or array, not a string or a value that can be cast to a string). This avoids errors and simplifies the query. Using 'DISTINCT on the result then gives the distinct event types. Options A, B, D and E have the overhead of IS NULL or NVL functions, that make processing slower and inefficeint compared to C. While these options handle nulls, they are more verbose and potentially less performant due to the explicit null checks. Option A will also exclude rows where event_data:event_type is actually NULL, which might be undesirable.


NEW QUESTION # 20
You are tasked with ingesting clickstream data from a website into Snowflake for real-time analytics. The website generates approximately 100,000 events per minute. The business requires insights into user behavior with a maximum latency of 5 minutes. Which data collection strategy would be MOST appropriate to meet these requirements, considering both cost and near real-time needs?

Answer: B

Explanation:
Near real-time ingestion using Snowpipe with auto-ingest is the most appropriate choice. It provides low latency (minutes), scales well with high data volume, and is cost-effective compared to maintaining a custom solution or paying for a full-fledged ETL tool for this specific scenario. Batch processing introduces too much latency (15 minutes or more), scheduled tasks can become resource intensive and JDBC inserts directly from the application can create performance bottlenecks and security concerns.


NEW QUESTION # 21
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