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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Engineering | 25% | - Data loading and unloading solutions - Data pipeline and integration design - Transformation and processing frameworks |
| Topic 2: Snowflake Architecture | 30% | - Object hierarchy and architectural impact - Development lifecycle and workload support - Data sharing architecture design - Data protection and recovery strategies - Data modeling and use cases |
| Topic 3: Accounts and Security | 25% | - Security, compliance and governance architecture - Account and database strategy design - Security principles and implementation scenarios |
| Topic 4: Performance Optimization | 20% | - Virtual warehouse configuration and sizing - Clustering and partitioning strategies - Query performance tuning - Cost optimization and resource management |
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NEW QUESTION # 62
An Architect entered the following commands in sequence:
USER1 cannot find the table.
Which of the following commands does the Architect need to run for USER1 to find the tables using the Principle of Least Privilege? (Choose two.)
Answer: A,C
Explanation:
According to the Principle of Least Privilege, the Architect should grant the minimum privileges necessary for the USER1 to find the tables in the SANDBOX database.
The USER1 needs to have USAGE privilege on the SANDBOX database and the SANDBOX.PUBLIC schema to be able to access the tables in the PUBLIC schema. Therefore, the commands B and C are the correct ones to run.
The command A is not correct because the PUBLIC role is automatically granted to every user and role in the account, and it does not have any privileges on the SANDBOX database by default.
The command D is not correct because it would transfer the ownership of the SANDBOX database from the Architect to the USER1, which is not necessary and violates the Principle of Least Privilege.
The command E is not correct because it would grant all the possible privileges on the SANDBOX database to the USER1, which is also not necessary and violates the Principle of Least Privilege.
Snowflake - Principle of Least Privilege : Snowflake - Access Control Privileges : Snowflake - Public Role :
Snowflake - Ownership and Grants
NEW QUESTION # 63
A media company needs a data pipeline that will ingest customer review data into a Snowflake table, and apply some transformations. The company also needs to use Amazon Comprehend to do sentiment analysis and make the de-identified final data set available publicly for advertising companies who use different cloud providers in different regions.
The data pipeline needs to run continuously and efficiently as new records arrive in the object storage leveraging event notifications. Also, the operational complexity, maintenance of the infrastructure, including platform upgrades and security, and the development effort should be minimal.
Which design will meet these requirements?
Answer: D
NEW QUESTION # 64
A group of Data Analysts have been granted the role analyst role. They need a Snowflake database where they can create and modify tables, views, and other objects to load with their own data. The Analysts should not have the ability to give other Snowflake users outside of their role access to this data.
How should these requirements be met?
Answer: B
Explanation:
Granting ANALYST_ROLE OWNERSHIP on the database allows the analysts to create and modify tables, views, and other objects within the database. However, to prevent the analysts from giving other Snowflake users outside of their role access to this data, the ANALYST_ROLE should not have the MANAGE GRANTS privilege on the account. The MANAGE GRANTS privilege enables a role to grant or revoke privileges on any object in the account, regardless of the ownership of the object1. Therefore, by removing this privilege from the ANALYST_ROLE, the analysts can only grant or revoke privileges on the objects that they own within the database, and not on any other objects in the account2.
The other options are not correct because:
* B. Granting SYSADMIN ownership of the database and granting the create schema privilege on the database to the ANALYST_ROLE would allow the analysts to create schemas within the database, but not to create or modify tables, views, or other objects within those schemas. The analysts would need to have the create [object type] privilege on each schema to create or modify objects within the schema3.
* C. Making every schema in the database a managed access schema, owned by SYSADMIN, and granting create privileges on each schema to the ANALYST_ROLE for each type of object that needs to be created would allow the analysts to create and modify objects within the schemas, but not to grant or revoke privileges on those objects. A managed access schema is a schema that requires explicit grants for any access to the objects within the schema, regardless of the ownership of the objects4. Therefore, the analysts would need to have the grant privilege on each schema to grant or revoke privileges on the objects within the schema.
* D. Granting ANALYST_ROLE ownership on the database and granting the ownership on future [object type] s in database privilege to SYSADMIN would allow the analysts to create and modify objects within the database, but also to grant or revoke privileges on those objects. The ownership on future
* [object type] s in database privilege enables a role to automatically become the owner of any new object of the specified type that is created in the database. Therefore, by granting this privilege to SYSADMIN, the analysts would not be able to prevent SYSADMIN from accessing or modifying the objects that they create within the database.
References:
* 1: MANAGE GRANTS Privilege | Snowflake Documentation
* 2: Access Control Privileges | Snowflake Documentation
* 3: CREATE SCHEMA | Snowflake Documentation
* 4: Managed Access | Snowflake Documentation
* : GRANT | Snowflake Documentation
* : Ownership on Future Objects | Snowflake Documentation
* : Ownership and Revoking Privileges | Snowflake Documentation
NEW QUESTION # 65
Which data models can be used when modeling tables in a Snowflake environment? (Select THREE).
Answer: B,E,F
Explanation:
Snowflake is a cloud data platform that supports various data models for modeling tables in a Snowflake environment. The data models can be classified into two categories: dimensional and normalized. Dimensional data models are designed to optimize query performance and ease of use for business intelligence and analytics. Normalized data models are designed to reduce data redundancy and ensure data integrity for transactional and operational systems. The following are some of the data models that can be used in Snowflake:
Dimensional/Kimball: This is a popular dimensional data model that uses a star or snowflake schema to organize data into fact and dimension tables. Fact tables store quantitative measures and foreign keys to dimension tables. Dimension tables store descriptive attributes and hierarchies. A star schema has a single denormalized dimension table for each dimension, while a snowflake schema has multiple normalized dimension tables for each dimension. Snowflake supports both star and snowflake schemas, and allows users to create views and joins to simplify queries.
Inmon/3NF: This is a common normalized data model that uses a third normal form (3NF) schema to organize data into entities and relationships. 3NF schema eliminates data duplication and ensures data consistency by applying three rules: 1) every column in a table must depend on the primary key, 2) every column in a table must depend on the whole primary key, not a part of it, and 3) every column in a table must depend only on the primary key, not on other columns. Snowflake supports 3NF schema and allows users to create referential integrity constraints and foreign key relationships to enforce data quality.
Data vault: This is a hybrid data model that combines the best practices of dimensional and normalized data models to create a scalable, flexible, and resilient data warehouse. Data vault schema consists of three types of tables: hubs, links, and satellites. Hubs store business keys and metadata for each entity. Links store associations and relationships between entities. Satellites store descriptive attributes and historical changes for each entity or relationship. Snowflake supports data vault schema and allows users to leverage its features such as time travel, zero-copy cloning, and secure data sharing to implement data vault methodology.
NEW QUESTION # 66
Which steps are recommended best practices for prioritizing cluster keys in Snowflake? (Choose two.)
Answer: A,E
NEW QUESTION # 67
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