Join the AWS-Certified-Big-Data-Specialty Discussion
stephen
Commented on July 26, 2025
very helpful
Anonymous
u
Commented on July 26, 2025
helped in prep
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Jay
Commented on July 26, 2025
Looking good so far
Anonymous
rey
Commented on July 26, 2025
reliable questionaires
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rey
Commented on July 26, 2025
very interesting topics, this helped me a lot
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chatbot
Commented on July 26, 2025
The questions offer a great help in preparation. These are related to topics in exam
Anonymous
prasanna
Commented on July 26, 2025
The questions are very helpful after completing the study materials and before the exam! Thanks
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rey
Commented on July 26, 2025
usable contents, very helpful
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rey
Commented on July 26, 2025
great questions, reliable
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Suchi
Commented on July 26, 2025
great content
Anonymous
Suchi
Commented on July 26, 2025
Great material
Anonymous
mark
Commented on July 26, 2025
amazing contents
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gm
Commented on July 26, 2025
Question 123 - False -
Reader accounts in Snowflake are designed for accessing and querying data shared by a provider, but they cannot extract that data for use outside of the Snowflake environment. They are primarily used for data consumption within Snowflake.
Anonymous
Atul
Commented on July 26, 2025
Answer to Question 55 is A GAN as it is used for the data generation. Option C is not correct.
Anonymous
gm
Commented on July 26, 2025
Q109 - False because owned by role not by user
Anonymous
Alex
Commented on July 26, 2025
very good questions
ROMANIA
gm
Commented on July 26, 2025
91 - Answer should be True
AWS PrivateLink can be used to establish a secure, private connection between a customer's on-premise data center (via AWS Direct Connect) and Snowflake. This connection bypasses the public internet, enhancing security and reducing the risk of data exposure.
Anonymous
Amit
Commented on July 26, 2025
Detailed and specific - stick to the foundational themes to test your knowledge and you will succeed
Anonymous
mark
Commented on July 26, 2025
very informative
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gm
Commented on July 26, 2025
Question 77: Answer should be all
Bulk copy from an External Stage:
This involves using the COPY INTO command to load data from files stored in external cloud storage locations (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage) into a Snowflake table.
Continuous load using Snowpipe REST API:
Snowpipe enables continuous data loading from staged files as soon as they become available. The Snowpipe REST API can be used to trigger the loading process for new files in an external stage.
The Snowflake Web Interface (UI) data loading wizard:
Snowsight, Snowflake's web interface, provides a user-friendly wizard that guides users through the process of loading data into tables, often from local files or staged files.
Bulk copy from an Internal Stage:
Similar to external stages, data can be bulk loaded from internal stages (storage locations within Snowflake) into tables using the COPY INTO command. Files can be placed in internal stages using commands like PUT.
Anonymous
gm
Commented on July 26, 2025
Question 68:
Explanation:
INSERT:
When inserting data into a table, Snowflake usually writes to new partitions, allowing other queries to access the existing data simultaneously.
COPY:
Similar to INSERT, the COPY command often writes to new partitions, enabling parallel execution with other operations.
Why other options are incorrect:
UPDATE:
This command modifies existing data in a table, which requires locking the affected rows to prevent conflicts. This makes it a blocking operation, meaning other queries that need to access the same rows will have to wait until the UPDATE finishes.
MERGE:
Like UPDATE, the MERGE command modifies data in a table, requiring locks and thus being a blocking operation. It combines data from multiple sources into a target table, which can involve modifying existing rows.
Anonymous
mark
Commented on July 26, 2025
very interesting
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