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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
EUROPEAN UNION
Kannamani Ramasamy
Commented on July 26, 2025
Good practice questions
Anonymous
lp
Commented on July 25, 2025
good set of questions to help prep
UNITED STATES
gm
Commented on July 25, 2025
Question 59 - False. In Snowflake, when a role is created, the role that is active at the time of creation is assigned ownership, not the individual user. This ownership can be transferred to another role using the GRANT OWNERSHIP command.
SINGAPORE
gm
Commented on July 25, 2025
Question 48 -
? They roll up and release approximately monthly, but customers can request early release application.
- While behavior changes are bundled monthly, releases themselves are weekly. Early access is available for Enterprise Edition and higher, but this applies to weekly releases, not monthly rollups.
? A customer is assigned a 30-minute window during which the system will be unavailable and upgraded.
- Snowflake upgrades are seamless and do not involve downtime. Customers are not assigned maintenance windows.
SINGAPORE
gm
Commented on July 25, 2025
Question 42 - Explaining why not others
? Snowflake tables are the physical instantiation of data: This is misleading because Snowflake abstracts physical storage from users.
? Clustering keys are required for optimal performance: Clustering keys are optional and used for very large tables to improve query performance, but not required.
? Snowflake tables are owned by a user: Tables are owned by roles, not individual users, as part of Snowflake's role-based access control (RBAC) model.
SINGAPORE
MK
Commented on July 25, 2025
excellent website for preparing for the ms 900 exam
UNITED STATES
gm
Commented on July 25, 2025
Question 37: Explaination -
Here are the three correct statements about Snowflake data loading:
? VARIANT "null" values are not the same as SQL NULL values
In Snowflake, the string "null" stored in a VARIANT column is treated as a string, not as a SQL NULL. This distinction is important when querying or transforming semi-structured data like JSON.
? It is recommended to validate the data before loading into the Snowflake target table
Validating data helps ensure integrity, prevents errors during loading, and avoids polluting production tables with bad or malformed data.
? It is recommended to use staging tables to manage MERGE statements
Staging tables allow for cleaner, more controlled data transformations and help manage complex MERGE operations efficiently.
? It is recommended to do frequent, single row DMLs
This is not recommended. Snowflake is optimized for bulk operations. Frequent single-row DMLs (INSERT, UPDATE, DELETE) can be inefficient and costly.
SINGAPORE
gm
Commented on July 25, 2025
True or False: A third-party tool that supports standard JDBC or ODBC but has no Snowflake-specific driver will be unable to connect to Snowflake.
Answer should be False because Snowflake provides standard JDBC and ODBC drivers that allow connections from tools supporting these standards
SINGAPORE
gm
Commented on July 25, 2025
Helpful questions
SINGAPORE
Ankitha
Commented on July 25, 2025
Its very useful
UNITED STATES
ADB
Commented on July 25, 2025
very relevant questions providing accurate answers which helps in certification preparation
INDIA
Ricardo Nelumba
Commented on July 25, 2025
On question 49, answer B makes more sense because Athena requires files to be in queryable formats (e.g., CSV/JSON), not audio/text transcripts. Glacier Select has high latency (hours).
Anonymous
Nayeh
Commented on July 25, 2025
Anyone passed exam recently? shade a light on questions asked from here
Anonymous
ADB
Commented on July 25, 2025
this questions provides contextual insights for exam preparations
INDIA
cc
Commented on July 25, 2025
nice questions
JAPAN
cuuns
Commented on July 25, 2025
good questioins
JAPAN