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| Section | Weight | Objectives |
|---|
| Data Protection and Data Sharing | 10% | - Data sharing and collaboration
- 1. Snowflake Marketplace
- 2. Data Exchange and secure sharing
- Data protection features
- 1. Cloning and replication
- 2. Time Travel and Fail-safe
- 3. Encryption and security
|
| Data Loading and Virtual Warehouses | 40% | - Snowflake Cortex
- 1. LLM functions: COMPLETE, SENTIMENT, TRANSLATE, CLASSIFY_TEXT
- 2. AI integration in SQL workflows
- Virtual warehouses
- 1. Warehouse types and sizing
- 2. Cost and performance management
- 3. Scaling and suspension
- Data loading methods
- 1. Loading structured, semi-structured, unstructured data
- 2. Internal and external stages
- 3. COPY INTO, INSERT, and other commands
|
| Identity and Data Access Management | 15% | - User and object management
- 1. Basic SQL operations
- 2. Create and modify database objects
- 3. Transfer ownership
- Role-Based Access Control (RBAC)
- 1. Privileges and access control
- 2. Principle of least privilege
- 3. Role types and hierarchy
|
| Interacting with Snowflake and the Architecture | 35% | - User interfaces
- 1. Worksheets and SQL editor
- 2. Snowflake Notebooks
- 3. Snowsight navigation and features
- Object hierarchy and data types
- 1. Structured, semi-structured, unstructured data types
- 2. Databases, schemas, tables, views
- Snowflake Data Cloud overview
- 1. Elastic storage and compute architecture
- 2. Key features and benefits
|
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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q80-Q85):
NEW QUESTION # 80
You are using Snowsight to monitor the performance of several queries. You notice a query that took significantly longer than expected.
Which of the following actions, available directly within the Snowsight Query History Details panel, would BEST help you diagnose the cause of the slow performance?
- A. Check the 'Warehouse Load' graph to see if the warehouse was under heavy load during the query execution.
- B. Review the 'Query Profile' to identify specific execution stages that consumed the most resources.
- C. Examine the SQL text of the query and identify potential areas for optimization based on syntax.
- D. Download the query results to your local machine for further analysis.
- E. Analyze the 'Compilation Time' to determine if query compilation contributed significantly to the overall execution time.
Answer: A,B,E
Explanation:
The Query Profile provides a detailed breakdown of the query execution, allowing you to pinpoint specific stages that are slow. Checking the Warehouse Load helps determine if resource contention was a factor. Analyzing the Compilation Time reveals if the query spent a significant amount of time compiling before execution. Examining the SQL text directly (option A) can be helpful, but the Query Profile provides more granular performance data within Snowsight.
Downloading results (option E) does not directly aid in diagnosing performance issues within Snowflake.
NEW QUESTION # 81
A data engineer wants to transfer ownership of a database named 'SALES DATA' to a role named 'DATA ADMIN'. The data engineer executes the following command: '"sql GRANT OWNERSHIP ON DATABASE SALES DATA TO ROLE DATA ADMIN; However, the command fails. Which of the following is the MOST likely reason for the failure?
- A. The 'DATA ADMIN' role does not exist.
- B. The command is syntactically incorrect. GRANT OWNERSHIP requires a 'REVOKE CURRENT GRANTS' clause to be specified.
- C. The data engineer does not have the 'OWNERSHIP' privilege on the 'SALES_DATA database.
- D. The data engineer must first relinquish ownership before granting ownership to another role.
- E. The 'SALES DATA' database does not exist.
Answer: C
Explanation:
To transfer ownership of an object in Snowflake, the user executing the command must have the
'OWNERSHIP' privilege on the object. Without the `OWNERSHIP privilege, the user cannot grant ownership to another role, regardless of whether the role exists or the database exists. Options B and C are invalid reasons because Snowflake would throw specific error messages indicating that the database/role does not exist. Option D is incorrect because the 'REVOKE CURRENT GRANTS clause is not always required. Option E is incorrect because the user with ownership can directly transfer it without first relinquishing it.
NEW QUESTION # 82
A Snowflake administrator is tasked with managing storage costs. They notice that several large tables are rarely queried. Which of the following strategies are MOST effective for reducing storage costs for these tables, while still allowing for future access?
- A. Purging the tables completely to reclaim storage space.
- B. Setting a data retention period for the tables using Time Travel and Fail-safe.
- C. Cloning the tables to a cheaper storage solution outside of Snowflake.
- D. Using Snowflake's data compression, which is automatically enabled and optimizes storage without any manual intervention.
- E. Dropping the tables and recreating them when needed from source data.
Answer: B,D
Explanation:
Snowflake automatically compresses data, optimizing storage utilization (E). Setting a shorter data retention period reduces the amount of historical data stored, directly impacting storage costs (C). Dropping and recreating tables (A) is inefficient and time-consuming. Cloning to extemal storage (B) isn't a direct Snowflake cost-reduction strategy. Purging the tables (D) eliminates access to the data, which contradicts the requirement of allowing for future access.
Fail-safe is for disaster recovery and is not configurable, while Time Travel allows restoring data within defined retention period. Data retention period reduces the amount of data retained.
NEW QUESTION # 83
What is the primary benefit of Zero-Copy Cloning in Snowflake?
- A. It allows creating writable copies of databases or tables without duplicating stored data.
- B. It enables real-time data synchronization between regions.
- C. It prevents any modifications to the cloned data.
- D. It creates a full physical copy of data for archival.
Answer: A
Explanation:
Zero-Copy Cloning allows Snowflake users to create instant, writable clones of databases, schemas, or tableswithout physically copying data. Instead, Snowflake references the same underlying micro-partitions, making the clone creation nearly instantaneous and storage-efficient. New storage is consumed only when updates apply to either the original or the clone, using copy-on-write mechanics. It does not perform physical copies, does not sync data in real-time, and does not freeze the clone from modification.
NEW QUESTION # 84
What is the purpose of Time Travel?
- A. To facilitate the loading of historical data into Snowflake
- B. To allow users to access historical data
- C. To ensure that users' data can be recovered at any time
- D. To automatically manage timestamp data types
Answer: B
Explanation:
Time Travel enables Snowflake users to query, clone, or restore historical versions of data. This includes retrieving previous states of tables, schemas, or databases-even after updates, deletes, or drops. Time Travel operates within a retention period (default: 1 day, up to 90 days on higher editions).
Users can query historical data using the AS OF or BEFORE clause, restore dropped objects, and clone databases at specific points in time for backup or analysis.
Time Travel doesnotautomatically manage timestamp data types. It does not guarantee indefinite recovery- after the retention window expires, data moves into Fail-safe. It also is not primarily designed for loading historical datasets; its purpose is to access past states of Snowflake-managed data.
Thus, the correct purpose is to enable access to historical data inside Snowflake.
NEW QUESTION # 85
......
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