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Snowflake SnowPro Advanced: Data Analyst Certification Exam Sample Questions (Q223-Q228):

NEW QUESTION # 223
You have a Snowflake table named 'CUSTOMER DATA' with a 'JSON DATA' column containing nested JSON objects. You need to extract specific fields from the nested JSON, transform the data, and load it into a new table named 'CLEANED CUSTOMERS'. You want to automate this process using a task and stream. Which of the following SQL statements, when combined correctly, provide the most efficient and reliable solution for automating this data transformation?

A. Option C
B. Option A
C. Option B
D. Option E
E. Option D

Answer: E

Explanation:
The correct answer (D) uses a stream to capture changes in the 'CUSTOMER_DATX table. The task is chained to the stream using 'AFTER ensuring it runs only when there are changes in the stream. It then inserts the transformed data (name, age) from the stream into 'CLEANED_CUSTOMERS' , filtering based on Options A and C don't leverage streams and will re-process the entire 'CUSTOMER DATA table each time the task runs. Option B uses a MERGE statement without considering any audit columns from the stream and option E sets SHOW INITIAL ROWS = TRUE on stream that are deprecated and doesn't ensure task execution correctly because task doesn't use the stream state properly. A stream is crucial for incremental loading and efficient processing of only the changed data.

NEW QUESTION # 224
Consider a Snowflake table 'LOG ENTRIES' with a VARIANT column 'LOG DATA' containing log messages with potentially varying structures. Some logs contain error details under the key 'error', while others do not. If 'error' exists, it contains a nested object with 'code' and 'message'. You want to extract the error 'message' when it exists, otherwise return 'No Error'. Which query accomplishes this with optimal performance?

Answer: E

Explanation:
Option D is the most robust and efficient solution. 'IF-NULLS handles cases where 'LOG DATA:error:message' is NULL (either because 'error' doesn't exist or 'message' is NULL). The explicitly casts the value to a string, ensuring consistent data type. Options A and B will return NULL when the 'error' object or the 'message' key doesn't exist without handling the null replacement. Option C will error as it does not cast value into a String from a variant data type. Option E is not valid as TRY_TO_STRING function only accepts one argument

NEW QUESTION # 225
A marketing team needs a daily report showing the conversion rate of leads to customers. They define conversion rate as (Number of Customers Acquired / Total Number of Leads) 100. The data resides in two tables: 'LEADS' and 'CUSTOMERS'. 'LEADS' contains all leads generated daily, and 'CUSTOMERS' contains all acquired customers, both tables having a 'LEAD_ID' and 'ACQUISITION DATE' field, with 'ACQUISITION DATE' being NULL in the 'LEADS' table. They want the report automated and delivered via email. Which combination of Snowflake features would BEST accomplish this task?

A. Create a stream on both 'LEADS' and 'CUSTOMERS' tables. Use a task to monitor the stream and calculate the conversion rate, then email the results.
B. Create a stored procedure that calculates the conversion rate, then schedule a Snowflake task to execute the stored procedure daily. Use Snowflake's email integration to send the results.
C. Create a view that calculates the conversion rate. Use a third-party ETL tool to extract data from the view daily and send an email report.
D. Create a dashboard using Snowsight connected to the 'LEADS' and 'CUSTOMERS tables. Schedule a daily email snapshot of the dashboard.
E. Create a Python UDF to calculate the conversion rate and create a scheduled task using it. Use Snowpark DataFrame APIs to read from and join the 'LEADS' and 'CUSTOMERS' tables, then use Snowflake email integration to deliver the report.

Answer: B

Explanation:
Using a stored procedure and task with Snowflake's email integration offers the most native and efficient solution. It avoids the complexity of external tools or continuously monitoring streams. Snowsight dashboard snapshots might not be formatted as needed for a report. While Snowpark is viable, for a simple calculation and email report, a Stored Procedure is preferable. Views do not offer scheduling or emailing on their own.

NEW QUESTION # 226
You have developed a Snowsight dashboard for your marketing team that contains sensitive customer data'. You need to share this dashboard with a specific group of users, but ensure that they can only view the data and cannot modify the dashboard itself or the underlying queries. Which of the following steps should you take to securely share the dashboard?

A. Create a scheduled task to export the dashboard as a PDF and email it to the group on a daily basis.
B. Share the dashboard with the group using the 'Can view' permission. Then, grant the users in the group the 'MONITOR privilege on the virtual warehouse used by Snowsight.
C. Share the dashboard with the group using the 'Can view' permission. Ensure the group has the 'SELECT' privilege on the tables/views used in the queries and the ' USAGE privilege on the database and schema. Also ensure that any intermediate tables created by the dashboard are also granted these privleges.
D. Share the dashboard with the group using the 'Can edit' permission. Then, grant the users in the group the 'USAGE' privilege on the database and schema containing the data.
E. Share the dashboard with 'Can view' permission and no further action is required.

Answer: C

Explanation:
Sharing with 'Can view' (B) ensures the users cannot modify the dashboard itself. Granting 'SELECT on the underlying tables/views and USAGE' on the database/schema allows them to see the data when the dashboard executes queries on their behalf. 'Can edit' (A) would allow them to modify the dashboard, which is not desired. 'MONITOR (C) is for monitoring warehouse usage, not data access. Exporting as PDF (D) is a workaround, but it loses interactivity and isn't a direct sharing method. E isn't correct because permissions on the data sources must be granted separately.

NEW QUESTION # 227
You have a Snowflake environment where different data analysts run a variety of ad-hoc queries against the same set of tables. You've noticed inconsistent query performance, with some queries running quickly and others taking much longer despite having similar logic. To better manage costs and optimize performance, which of the following strategies would be MOST effective in leveraging virtual warehouse caching and resource management in Snowflake? (Select TWO)

A. Create separate virtual warehouses for different groups of analysts or types of queries to isolate workloads and prevent resource contention.
B. Disable result caching globally at the account level to ensure that all queries always retrieve the most up-to-date data.
C. Use resource monitors to limit the credit usage of individual virtual warehouses or user groups to control costs and prevent runaway queries.
D. Implement a single, large virtual warehouse shared by all data analysts to maximize resource utilization and caching benefits.
E. Configure the 'AUTO SUSPEND parameter on all virtual warehouses to be a very short duration (e.g., 60 seconds) to minimize costs when the warehouse is idle.

Answer: A,C

Explanation:
Creating separate virtual warehouses (B) allows you to isolate workloads, preventing resource contention and ensuring consistent performance for different groups of analysts or types of queries. Resource monitors (D) help control costs by limiting credit usage, preventing runaway queries from consuming excessive resources. Sharing a single, large warehouse (A) can lead to resource contention. Short 'AUTO_SUSPEND (C) can lead to frequent warehouse startups, negating caching benefits. Disabling result caching (E) defeats a key performance optimization mechanism.

NEW QUESTION # 228
......

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100% PASS 2025 LATEST DAA-C01: SNOWPRO ADVANCED: DATA ANALYST CERTIFICATION EXAM RELIABLE EXAM REGISTRATION

100% Pass 2025 Latest DAA-C01: SnowPro Advanced: Data Analyst Certification Exam Reliable Exam Registration