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[General] DAA-C01 Vce Download - DAA-C01 Valid Test Materials

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【General】 DAA-C01 Vce Download - DAA-C01 Valid Test Materials

Posted at 2/17/2026 21:52:00      View：60 | Replies：0        Print      Only Author   [Copy Link] 1#
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Snowflake SnowPro Advanced: Data Analyst Certification Exam Sample Questions (Q33-Q38):NEW QUESTION # 33
You are performing an UPDATE operation on a large table 'CUSTOMER ORDERS with millions of rows. The update logic involves complex calculations based on data from another table 'PRODUCT PRICES. To minimize the impact on concurrent queries and ensure data consistency, which of the following strategies should you implement?
  • A. Use a MERGE statement to update the 'CUSTOMER ORDERS' table based on the data from the 'PRODUCT PRICES' table.
  • B. Execute the UPDATE statement directly without any special considerations, relying on Snowflake's default concurrency control.
  • C. Create a temporary table with the updated values, drop the original table, and rename the temporary table to the original table name.
  • D. Create a new version of table with updated data and switch to new version.
  • E. Break the UPDATE operation into smaller batches using a WHERE clause with a limiting condition based on a primary key or date range and commit changes after each batch.
Answer: A,E
Explanation:
Breaking the UPDATE into smaller batches minimizes lock contention and reduces the duration of the update transaction, thereby reducing the impact on concurrent queries. A MERGE statement is an efficient way to perform updates based on data from another table, optimizing the process compared to a simple UPDATE statement. Option A is not recommended for large tables due to potential lock contention. Option C is disruptive and might cause issues if concurrent queries are running against the table. Option E is not a standard approach.

NEW QUESTION # 34
You are tasked with building a report to analyze customer churn. The data includes customer demographics, purchase history, website activity, and support interactions. You want to provide interactive filtering capabilities within the report, allowing users to explore the data based on various criteria'. Which Snowflake feature(s) offer the most effective way to implement interactive filtering within your reporting solution without directly exposing underlying tables?
  • A. Creating secure views and stored procedures, then implementing parameterized queries within the reporting tool that call the stored procedures with user-defined parameters.
  • B. Using Snowflake's external functions to call a custom API that handles filtering logic.
  • C. Creating static reports using a scheduling tool to generate PDFs.
  • D. Using Snowflake's Data Marketplace to directly share the raw tables with the reporting tool.
  • E. Granting direct read access to all the underlying tables to the reporting tool's service account.
Answer: A
Explanation:
Secure views and stored procedures (option B) provide a controlled interface for accessing the data. Secure Views protect the underlying schema. Stored procedures encapsulate the filtering logic and can validate the provided parameters. This is crucial for both security and data governance. Other options are either insecure (A, D) or don't provide interactive filtering (E). While external functions could potentially work, they add unnecessary complexity compared to stored procedures.

NEW QUESTION # 35
When maintaining reports and dashboards, why is it crucial to configure subscriptions and updates?
  • A. Configuring these features hampers dashboard usability.
  • B. Subscriptions and updates ensure timely information delivery.
  • C. They complicate dashboard management without any added benefits.
  • D. They limit data accessibility for effective dashboard usage.
Answer: B
Explanation:
Subscriptions and updates ensure timely information delivery, a crucial aspect of maintaining reports and dashboards.

NEW QUESTION # 36
Which actions are typically part of responding to data import errors in Snowflake? (Select all that apply)
  • A. Analyzing error logs for resolution
  • B. Resolving data inconsistencies
  • C. Resuming data import immediately
  • D. Identifying error sources
Answer: A,B,D
Explanation:
Responding to data import errors involves identifying error sources, resolving inconsistencies, and analyzing logs for resolution.

NEW QUESTION # 37
How do row access policies and Dynamic Data Masking affect the creation and maintenance of reports and dashboards?
  • A. Dynamic Data Masking doesn't impact dashboard creation or maintenance.
  • B. They enhance data visibility without any restrictions.
  • C. Row access policies limit data visibility based on user privileges.
  • D. Both policies restrict data visibility for better security.
Answer: C
Explanation:
Row access policies restrict data visibility based on user privileges, ensuring better security in creation and maintenance of reports and dashboards.

NEW QUESTION # 38
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