ARA-C01 exam dumps

ARA-C01 practice question 334 of 434

SnowPro® Advanced: Architect. Professional level, Snowflake. Free question with the correct answer and a full explanation.

ARA-C01 Question 334

Single answerJava

A company is standardizing data quality checks inside Snowflake and wants to implement them as Java-based stored procedures so the logic runs close to the data. The procedures must call SQL statements, return structured results, and be maintainable across environments. During a design review, an architect is asked which approach best aligns with Snowflake capabilities and best practices for Java stored procedures.

Which approach should the architect recommend?

  1. A

    Implement the logic as a Java stored procedure using Snowpark for Java, package dependencies in a JAR, upload them to a stage, and create the procedure with a HANDLER that invokes the Java method.

  2. B

    Implement the logic as a Java UDF because Java UDFs are intended for executing multiple SQL statements and returning complex procedural results such as status objects and audit details.

  3. C

    Run the Java code from an external application server and register it in Snowflake as a stored procedure without staging artifacts, because Snowflake executes Java handlers remotely from customer-managed infrastructure.

  4. D

    Create a Java stored procedure that opens JDBC connections directly to Snowflake from inside the handler so it can manage its own sessions independently of the caller.

Show answer and explanation

Correct answer: A

Explanation

For Java in Snowflake, stored procedures are the correct choice when the solution must orchestrate SQL, apply control flow, and operate close to the data. Snowflake supports Java stored procedures through Snowpark for Java, where developers implement a handler method, package code and dependencies, upload the JAR to a stage, and reference it during procedure creation. This aligns with maintainability and deployment best practices across environments.

The key distinction tested here is between Java UDFs and Java stored procedures. UDFs are not meant to act as procedural orchestrators for multiple SQL statements; stored procedures are. Also, Snowflake executes Java handlers within its managed framework rather than delegating execution to an external customer-run application server. Finally, Java stored procedures operate with the Snowflake-provided session context instead of opening separate JDBC connections from inside the handler.

These behaviors are consistent with Snowflake documentation for Java stored procedures and Snowpark for Java, including guidance on handler methods, staged JAR artifacts, and use of the Session object in procedure code.

  • A. Correct.

    Correct. Snowflake supports stored procedures written in Java using Snowpark for Java. A common implementation pattern is to write the handler method in Java, package the code and required dependencies into a JAR, upload the artifact to an internal stage, and reference the handler in CREATE PROCEDURE. Java stored procedures are appropriate when the logic needs to orchestrate SQL statements, use Snowpark DataFrame operations, and return structured outputs within Snowflake-managed execution.

  • B. Incorrect.

    Incorrect. This confuses Java UDFs with Java stored procedures. UDFs are designed for row-level or scalar/tabular function logic, not procedural orchestration of multiple SQL statements and operational workflows. When the requirement is to execute SQL statements in sequence, handle control flow, and return procedure-style results, a stored procedure is the appropriate construct.

  • C. Incorrect.

    Incorrect. Snowflake does not execute Java stored procedure handlers from a customer-managed external application server as part of normal stored procedure execution. The code artifacts must be made available to Snowflake, typically through staging, and execution occurs within Snowflake's managed environment. This option reflects a common misconception based on traditional middleware architectures.

  • D. Incorrect.

    Incorrect. Inside a Java stored procedure, code should use the provided Snowpark Session object supplied by Snowflake rather than creating independent JDBC connections back into Snowflake. Attempting to manage separate JDBC sessions from within the handler is not the intended execution model and undermines the controlled procedure context.

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