What are the three key layers of Snowflake's architecture?
Answer(s): D
Snowflake's architecture is built on three primary layers that separate and optimize storage, compute, and services. TheData Storagelayer stores all structured and semi-structured data in Snowflake's optimized, compressed columnar format. Snowflake manages file organization, metadata, and optimizations automatically, ensuring efficient storage management. TheQuery Processinglayer is implemented through virtual warehouses that independently execute queries using MPP (massively parallel processing) compute clusters. These warehouses scale elastically based on workload requirements. TheCloud Serviceslayer manages metadata, authentication, access control, query optimization, and infrastructure orchestration. This separation allows independent scaling of compute and storage, optimizing performance while simplifying administration.=====================
How does Snowflake process queries?
Answer(s): B
Snowflake processes queries usingMassively Parallel Processing (MPP)compute clusters, deployed as virtual warehouses. Each warehouse consists of multiple compute nodes working in parallel to execute queries efficiently. When a query is submitted, Snowflake distributes tasks across nodes, processes data subsets concurrently, and aggregates results. This architecture enables high performance, scalability, and the ability to handle complex analytical workloads. While Snowflake does incorporate elements of shared-disk storage, query execution itself depends on MPP compute clusters. Options such as third-party connectors or storage optimization do not represent the core query processing mechanism.=====================
Which cloud platforms does Snowflake support?
Snowflake is a fully cloud-native platform that supports deployment across all three major cloud providers:AWS, GCP, and Azure. Snowflake delivers consistent functionality across each provider, allowing organizations to choose the cloud best suited for regulatory, architectural, and business requirements. Although small feature differences may exist between cloud providers, Snowflake's core capabilities--virtual warehouses, storage layers, security, data sharing, and governance-- operate uniformly across all three platforms. This multi-cloud support gives Snowflake strong flexibility for hybrid, multi-region, and multi-cloud deployments.=====================
What type of storage format does Snowflake use for its data?
Snowflake stores data in acompressed columnarformat, which is optimal for analytical workloads. Columnar storage allows Snowflake to read only the relevant columns needed for query execution, improving performance significantly for aggregation and filtering operations. Compression further reduces storage consumption, enabling cost efficiency. This approach differs from row-store formats used in OLTP systems and provides better analytic processing. Snowflake automatically manages partitioning, micro-partitioning, and metadata without user intervention.=====================
What does Snowflake UI called?
The official Snowflake web interface is calledSnowsight. Snowsight is the modern, browser-based UI that enables SQL development, Python worksheets, dashboarding, visual exploration, and account monitoring. It replaces the classic UI and is now the default interface. Snowsight provides integrated capabilities such as notebooks, data loading interfaces, dashboards, role and warehouse management, and visual query history. Other options like Snowsite, SnowGUI, and SnowView are not valid Snowflake product names.=====================
Which options are used in Snowflake notebooks for querying data? (Choose any 3 options)
Answer(s): A,B,D
Snowflake Notebooks support multiple cell types for development and documentation.Pythoncells allow users to perform data transformations, analysis, and Snowpark operations.SQLcells enable executing Snowflake SQL queries directly against tables and views.Markdowncells support formatted documentation within notebooks--useful for narrative explanations and commentary. The option "Markup" is not a supported cell type in Snowflake Notebooks. These three supported types allow users to blend analytics, code execution, and documentation in a unified environment.=====================
What is a key feature of Snowflake notebooks?
Answer(s): C
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.=====================
What options are available under the settings for Python worksheets? (Choose any 2 options)
Answer(s): A,C
In Snowflake Python worksheets, settings include theHandlerandReturn Type. The Handler identifies the specific Python function that serves as the entry point for execution--essential when deploying code as stored procedures or user-defined functions. The Return Type defines how Snowflake interprets the output, such as STRING, VARIANT, or TABLE, ensuring proper result rendering. "Return Value" is not a worksheet setting but rather the outcome produced by the code itself, and "Output" is not a configuration option.=====================
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