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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Resource optimization techniques - Query history and monitoring |
| Topic 2: Data Loading & Unloading | 15% | - Bulk loading with COPY command - Data ingestion best practices - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Data unloading and staging |
| Topic 3: Data Sharing | 12% | - Reader account management - Shares and reader accounts - Data listing marketplace - Private sharing vs. Data Exchange |
| Topic 4: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Topic 5: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Organizations and accounts structure - Resource monitors |
| Topic 6: Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Topic 7: Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Warehouse creation and configuration - Multi-cluster warehouses - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling |
| Topic 8: Databases, Tables & Views | 18% | - Column types and sequences - Stored procedures and UDFs - Views (standard, materialized, secure) - Clustering and micro-partitions - Table types (permanent, transient, temporary) - Data manipulation (DML operations) |
| Topic 9: Time Travel & Cloning | 10% | - Fail-safe concepts - Zero-copy cloning - Time travel concepts and retention - UNDROP and historical data access |
| Topic 10: Security & Access Control | 10% | - Authorization (roles, privileges) - Authentication (SSO, MFA) - Masking policies - Governance best practices - Row-level and column-level security |
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NEW QUESTION # 312
Which tools, services, or features should be used to write code when using the Snowpark API? (Choose two.)
Answer: B,E
Explanation:
The Snowpark API is available through language-specific libraries for Java, Python, and Scala. Among the answer choices, Snowpark for Scala and Snowpark for Python are the two actual Snowpark libraries used to write application code with the API. Snowpark pushes supported transformations and computations into Snowflake, allowing applications to process data at scale without moving the data to the client environment. Snowpark Container Services is a managed container platform rather than a Snowpark language library. Streamlit in Snowflake is an application framework, and SQL Scripting provides procedural SQL constructs rather than a Snowpark API library. Java is also a supported Snowpark language, but it is not included in the available choices. Therefore, the two correct options are B and C.
NEW QUESTION # 313
What does Snowflake recommend a user do if they need to connect to Snowflake with a tool or technology mat is not listed in Snowflake partner ecosystem?
Answer: C
Explanation:
If a user needs to connect to Snowflake with a tool or technology that is not listed in Snowflake's partner ecosystem, Snowflake recommends using its JDBC or ODBC drivers. These drivers provide a standard method of connecting from various tools and programming languages to Snowflake, offering wide compatibility and flexibility. By using these drivers, users can establish connections to Snowflake from their applications, ensuring they can leverage the capabilities of Snowflake regardless of the specific tools or technologies they are using.References: Snowflake Documentation on Client Drivers
NEW QUESTION # 314
What kind of value does a User-Defined Function (UDF) return? (Select TWO).
Answer: D,E
NEW QUESTION # 315
In which Snowflake layer does Snowflake reorganize data into its internal optimized, compressed, columnar format?
Answer: D
Explanation:
Snowflake reorganizes data into its internal optimized, compressed, columnar format in the Database Storage layer.This process is part of how Snowflake manages data storage, ensuring efficient data retrieval and query performance
NEW QUESTION # 316
A user has unloaded data from a Snowflake table to an external stage.
Which command can be used to verify if data has been uploaded to the external stage named my_stage?
Answer: D
Explanation:
The list @my_stage command in Snowflake can be used to verify if data has been uploaded to an external stage namedmy_stage.This command provides a list of files that are present in the specified stage2.
NEW QUESTION # 317
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