OMG OMG-OCUP-300 Exam
OMG-OCUP-300 OMG-Certified UML Professional Advanced Exam (Page 4 )

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stephen Commented on July 26, 2025
very helpful
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u Commented on July 26, 2025
helped in prep
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Jay Commented on July 26, 2025
Looking good so far
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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
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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
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Suchi Commented on July 26, 2025
Great material
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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.
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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.
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gm Commented on July 26, 2025
Q109 - False because owned by role not by user
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Alex Commented on July 26, 2025
very good questions
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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.
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Amit Commented on July 26, 2025
Detailed and specific - stick to the foundational themes to test your knowledge and you will succeed
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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.
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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.
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mark Commented on July 26, 2025
very interesting
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Kannamani Ramasamy Commented on July 26, 2025
Good practice questions
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lp Commented on July 25, 2025
good set of questions to help prep
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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.
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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.
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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.
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MK Commented on July 25, 2025
excellent website for preparing for the ms 900 exam
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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.
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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
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gm Commented on July 25, 2025
Helpful questions
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