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| Section | Weight | Objectives |
|---|---|---|
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Virtual warehouse concepts and credit usage - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) |
| Security & Access Control | 10% | - Authentication (SSO, MFA) - Authorization (roles, privileges) - Masking policies - Row-level and column-level security - Governance best practices |
| Time Travel & Cloning | 10% | - Zero-copy cloning - Time travel concepts and retention - Fail-safe concepts - UNDROP and historical data access |
| Virtual Warehouses | 15% | - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling - Warehouse creation and configuration |
| Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Table types (permanent, transient, temporary) - Data manipulation (DML operations) - Clustering and micro-partitions - Stored procedures and UDFs - Column types and sequences |
| Semi-Structured Data | 10% | - VARIANT data type - Parsing and flattening semi-structured data - Array and object operations |
| Data Sharing | 12% | - Data listing marketplace - Reader account management - Private sharing vs. Data Exchange - Shares and reader accounts |
| Performance Optimization & Monitoring | 4% | - Query history and monitoring - Resource optimization techniques - Query profiling and performance tuning |
| Data Loading & Unloading | 15% | - Data unloading and staging - Bulk loading with COPY command - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Data ingestion best practices |
| Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
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NEW QUESTION # 843
What does Snowflake's search optimization service support?
Answer: B
Explanation:
Snowflake's search optimization service supports tables and views that are not protected by row access policies.It is designed to improve the performance of certain types of queries on tables, including selective point lookup queries and queries on fields in VARIANT, OBJECT, and ARRAY (semi-structured) columns1.
NEW QUESTION # 844
Which option will create a table without data from the CUSTOMERS table?
Answer: D
Explanation:
The correct answer is A. CREATE TABLE CUSTOMERS_CLONE LIKE CUSTOMERS; .
The CREATE TABLE ... LIKE command creates a new table with the same column definitions as an existing table, but it does not copy the data from the source table.
Why A is correct:
CREATE TABLE CUSTOMERS_CLONE LIKE CUSTOMERS; creates an empty table with the same structure as CUSTOMERS.
Why the other options are incorrect:
B). CREATE TABLE ... CLONE creates a zero-copy clone of the source table, including access to the source table's existing data at the time of cloning.
C). This creates a temporary table with one column named CLONE; it does not create a table based on the structure of CUSTOMERS.
D). CREATE TABLE ... AS SELECT creates a new table and inserts the result of the query, so it copies data from CUSTOMERS.
Official Snowflake documentation reference:
Snowflake documentation explains that CREATE TABLE ... LIKE creates a new table with the same column definitions as another table, but without copying data.
Reference: Snowflake Documentation - CREATE TABLE ... LIKE; Snowflake Documentation - CREATE TABLE ... CLONE; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 845
Which Snowflake layer is associated with virtual warehouses?
Answer: C
Explanation:
The layer of Snowflake ' s architecture associated with virtual warehouses is the Query Processing layer.
Virtual warehouses in Snowflake are dedicated compute clusters that execute SQL queries against the stored data. This layer is responsible for the entire query execution process, including parsing, optimization, and the actual computation. It operates independently of the storage layer, enabling Snowflake to scale compute and storage resources separately for efficiency and cost-effectiveness.
References:
Snowflake Documentation: Snowflake Architecture
NEW QUESTION # 846
Which command can be performed on a Snowflake secure view?
Answer: D
NEW QUESTION # 847
For which use case will transient tables be most cost-effective?
Answer: D
Explanation:
The correct answer is A. The table data does not require Fail-safe .
Transient tables are designed for data that does not need the same level of data recovery protection as permanent tables. Unlike permanent tables, transient tables do not have a Fail-safe period.
Why A is correct:
Fail-safe storage can add cost because Snowflake retains historical data for recovery by Snowflake support after the Time Travel retention period ends. Since transient tables do not have Fail-safe, they can reduce storage costs for data that does not require this additional protection.
Common use cases include:
Temporary ETL data
Staging data
Intermediate transformation data
Reproducible data
Non-critical working data
Why the other options are incorrect:
B). Long-term critical storage is usually better suited for permanent tables because they support Fail-safe.
C). Frequent access and modification alone does not make a transient table the best cost choice. The key factor is whether Fail-safe is needed.
D). Sharing data with external accounts is not the primary cost-effective use case for transient tables.
Official Snowflake documentation reference:
Snowflake documentation explains that transient tables persist until explicitly dropped, support Time Travel with limited retention, and do not have a Fail-safe period.
Reference: Snowflake Documentation - Transient tables; Snowflake Documentation - Understanding and viewing Fail-safe; SnowPro Core Study Guide - Snowflake Architecture.
NEW QUESTION # 848
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