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Snowflake DEA-C01 Exam Syllabus Topics:

Section	Objectives
Security, Governance, and Data Sharing	- Access control 1. Role-based access control (RBAC) 2. Object-level permissions - Data governance 1. Secure data sharing concepts 2. Data masking policies
Data Pipelines and Transformation	- Streams and Tasks 1. Automating pipelines with Tasks 2. Change Data Capture (CDC) with Streams - ETL/ELT design patterns in Snowflake 1. Staging and transformation layers 2. Data orchestration concepts
Semi-Structured and Advanced Data Handling	- Semi-structured data processing 1. VARIANT data type usage 2. JSON, Avro, Parquet handling - Advanced transformation techniques 1. Complex transformations in SQL 2. Flattening nested data
Data Loading and Integration	- Bulk data loading 1. File format handling 2. COPY INTO command usage - Snowpipe and continuous ingestion 1. Automated ingestion workflows 2. Event-driven loading
Performance Optimization	- Query performance tuning 1. Clustering and micro-partitions 2. Caching mechanisms - Warehouse optimization 1. Concurrency management 2. Scaling strategies
Data Engineering Fundamentals on Snowflake	- Data ingestion concepts 1. Batch loading strategies 2. Continuous ingestion concepts - Snowflake architecture for data engineering 1. Storage and compute separation 2. Virtual warehouses and compute scaling

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Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q375-Q380):

NEW QUESTION # 375
For SQL UDFs, The invoker of the function need not have access to the objects referenced in the function definition, but only needs the privilege to use the function?

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 376
A Data Engineer has written a stored procedure that will run with caller's rights. The Engineer has granted ROLEA right to use this stored procedure.
What is a characteristic of the stored procedure being called using ROLEA?

A. ROLEA will not be able to see the source code for the stored procedure even though the role has usage privileges on the stored procedure
B. If the stored procedure accesses an object that ROLEA does not have access to the stored procedure will fail
C. The stored procedure will run in the context (database and schema) where the owner created the stored procedure
D. The stored procedure must run with caller's rights it cannot be converted later to run with owner's rights

Answer: B

Explanation:
Explanation
A stored procedure that runs with caller's rights executes with the privileges of the role that calls it. Therefore, if the stored procedure accesses an object that ROLEA does not have access to, such as a table or a view, the stored procedure will fail with an insufficient privileges error. The other options are not correct because:
A stored procedure can be converted from caller's rights to owner's rights by using the ALTER PROCEDURE command with the EXECUTE AS OWNER option.
A stored procedure that runs with caller's rights executes in the context (database and schema) of the caller, not the owner.
ROLEA will be able to see the source code for the stored procedure by using the GET_DDL function or the DESCRIBE command, as long as it has usage privileges on the stored procedure.

NEW QUESTION # 377
A company stores data in a data lake that is in Amazon S3. Some data that the company stores in the data lake contains personally identifiable information (PII). Multiple user groups need to access the raw data. The company must ensure that user groups can access only the PII that they require.
Which solution will meet these requirements with the LEAST effort?

A. Build a custom query builder UI that will run Athena queries in the background to access the data.
Create user groups in Amazon Cognito. Assign access levels to the user groups based on the PII access requirements of the users.
B. Create IAM roles that have different levels of granular access. Assign the IAM roles to IAM user groups. Use an identity-based policy to assign access levels to user groups at the column level.
C. Use Amazon Athena to query the data. Set up AWS Lake Formation and create data filters to establish levels of access for the company's IAM roles. Assign each user to the IAM role that matches the user's PII access requirements.
D. Use Amazon QuickSight to access the data. Use column-level security features in QuickSight to limit the PII that users can retrieve from Amazon S3 by using Amazon Athena. Define QuickSight access levels based on the PII access requirements of the users.

Answer: C

Explanation:
https://aws.amazon.com/blogs/big-data/anonymize-and-manage-data-in-your-data-lake-with- amazon-athena-and-aws-lake-formation/

NEW QUESTION # 378
A company is creating a new data pipeline to populate a data lake. A data analyst needs to prepare and standardize the data before a data engineering team can perform advanced data transformations. The data analyst needs a solution to process the data that does not require writing new code.
Which solution will meet these requirements with the LEAST operational effort?

A. Use AWS Glue Studio with data preparation recipe transformations. Ensure that the data engineers add additional transformations to complete the pipeline.
B. Use Python and Pandas in an AWS Glue Studio notebook. Ensure that the data engineers add additional transformations to complete the pipeline.
C. Use Amazon SageMaker Canvas and SageMaker Data Wrangler to write to a new dataset.
Ensure that the data engineers add additional transformations to complete the pipeline by using AWS Glue.
D. Create a document that includes the data preparation rules. Ensure that the data engineers implement the rules in AWS Glue.

Answer: A

Explanation:
AWS Glue Studio lets analysts build no-code/low-code visual ETL with built-in preparation transformations (recipe-style), producing Glue jobs that engineers can extend - minimizing coding and operational overhead.

NEW QUESTION # 379
To troubleshoot data load failure in one of your Copy Statement, Data Engineer have Executed a COPY statement with the VALIDATION_MODE copy option set to RETURN_ALL_ERRORS with reference to the set of files he had attempted to load. Which below function can facilitate analysis of the problematic records on top of the Results produced? [Select 2]

A. LOAD_ERROR
B. RESULT_SCAN
C. Rejected_record
D. LAST_QUERY_ID

Answer: B,D

Explanation:
Explanation
LAST_QUERY_ID() Function
Returns the ID of a specified query in the current session. If no query is specified, the most recently executed query is returned.
RESULT_SCAN() Function
Returns the result set of a previous command (within 24 hours of when you executed the query) as if the result was a table.
The following example validates a set of files (SFfile.csv.gz) that contain errors. To facilitate analy-sis of the errors, a COPY INTO <location> statement then unloads the problematic records into a text file so they could be analyzed and fixed in the original data files. The statement queries the RESULT_SCAN table.
1.#copy into Snowtable
2.from @SFstage/SFfile.csv.gz
3.validation_mode=return_all_errors;
4.#set qid=last_query_id();
5.#copy into @SFstage/errors/load_errors.txt from (select rejected_record from ta-ble(result_scan($qid))); Note: Other options are not valid functions.

NEW QUESTION # 380
......

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