SOL-C01 Exam Dumps - SnowPro Associate: Platform Certification Exam

The SENTIMENT function in Snowflake Cortex analyzes text and returns a numerical sentiment score between -1 and 1. This value indicates whether the text expresses negative, positive, or neutral sentiment. It accepts English-language text and uses Snowflake’s managed AI models to infer polarity based on contextual understanding. A negative score represents negative emotion, a positive score represents positive emotion, and values near zero indicate neutrality. It is ideal for customer reviews, feedback analysis, and text mining. TRANSLATE is used for language translation, COMPLETE for text generation, and PARSE_DOCUMENT for extracting text from documents—not sentiment analysis. SENTIMENT provides fast, in-database AI inference without external model hosting or integration.

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Snowflake Notebooks provide an integrated, interactive development environment that enables users to write SQL and Python code, visualize results, and document analysis—all in the same workspace. They support data visualizations, charts, tables, and Streamlit-based interactions. Notebooks run entirely within Snowsight and require no manual hardware configuration. They are not CLI-based and support much richer displays than plain text. This integration streamlines the entire data exploration, transformation, and modeling workflow.

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The PARSE_DOCUMENT function is part of Snowflake Cortex AI and is designed specifically to extract text, layout information, and structured elements from unstructured documents, especially PDFs. It supports OCR-based extraction for scanned files and layout-aware extraction to preserve tables, headings, and format structure.

Its purpose is not PII detection; Snowflake does not provide built-in automatic PII identification via PARSE_DOCUMENT. It does not identify candidate data for directory tables and is unrelated to JSON parsing—Snowflake uses PARSE_JSON for JSON data.

PARSE_DOCUMENT is primarily used for workflows such as contract analysis, invoice extraction, document classification, compliance automation, and downstream AI enrichment.

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Standard Edition provides all essential Snowflake capabilities:

• SQL data warehousing

• Secure data sharing

• Time Travel (1 day)

• Internal/external stages

• Basic governance features

It does not include HIPAA/PCI compliance (Business Critical), nor unlimited Time Travel, nor advanced private connectivity.

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For Snowflake Standard Edition accounts, the maximum Time Travel retention period is1 day(24 hours). Time Travel allows users to query historical data, restore dropped objects, and clone objects at a point in time. Although the retention period can be adjusted at the account, database, schema, or table level, Standard Edition restricts the upper limit to 1 day. A value of 0 disables Time Travel entirely. A 7-day retention period applies to Fail-safe, not Time Travel, and Fail-safe is a disaster-recovery mechanism managed exclusively by Snowflake. The 90-day Time Travel retention is available only for Enterprise Edition and above. Therefore, the correct maximum retention period for Standard Edition is 1 day.

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Snowflake uses a Role-Based Access Control (RBAC) model, whererolesare the containers of privileges. Assigning roles to users ensures that permissions on database objects (such as tables, schemas, warehouses, and functions) are enforced consistently and securely. Users do not receive privileges directly; instead, privileges are granted to roles, and roles are assigned to users.

This enables scalable, auditable, and manageable access control.

Roles do not determine tasks, do not affect query optimization, and do not govern which data types a user may query—permissions are object-based, not datatype-based.

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TheData Storage Layerin Snowflake stores all data in acompressed, encrypted, columnar formatdesigned for analytical efficiency. Snowflake automatically reorganizes ingested data into micro-partitions optimized for pruning and high-performance scans. The compression and structuring are fully automated, requiring no tuning or indexing by the user.

Another foundational feature iselastic storage, made possible by Snowflake’s cloud-native architecture. Storage automatically scales up or down based on data volume without user intervention, and is separated from compute. This ensures cost efficiency and immediate availability of capacity for large datasets.

Incorrect options:

In-memory storageis not a Snowflake feature; long-term data is persisted in cloud object storage.

Elastic Cloudis not a Snowflake architectural term.

The Data Storage Layer is designed for durability, scalability, and optimal query performance.

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Snowflake usesrole-based access control (RBAC), where privileges are assigned to roles rather than individual users. All of the listed privileges (SELECT, INSERT, MONITOR) can be granted to a role.

SELECTallows reading data from tables, views, or materialized views.

INSERTallows adding new rows into a table.

MONITORallows viewing query history, warehouse status, and resource usage.

In addition, roles can receive privileges such as CREATE TABLE, USAGE, MODIFY, OPERATE, OWNERSHIP, and many others. Users inherit all privileges assigned to the roles they possess, enabling scalable security design.

Thus, all listed privileges can be granted to Snowflake roles.

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