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| Section | Weight | Objectives |
|---|---|---|
| Performance Optimization & Monitoring | 4% | - Query history and monitoring - Query profiling and performance tuning - Resource optimization techniques |
| Databases, Tables & Views | 18% | - Column types and sequences - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Data manipulation (DML operations) - Views (standard, materialized, secure) - Stored procedures and UDFs |
| Data Sharing | 12% | - Data listing marketplace - Shares and reader accounts - Reader account management - Private sharing vs. Data Exchange |
| Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Virtual warehouse concepts and credit usage - Snowflake architecture layers (storage, compute, services) |
| Virtual Warehouses | 15% | - Multi-cluster warehouses - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting - Warehouse creation and configuration - Warehouse sizing and scaling |
| Security & Access Control | 10% | - Masking policies - Authorization (roles, privileges) - Governance best practices - Row-level and column-level security - Authentication (SSO, MFA) |
| Time Travel & Cloning | 10% | - UNDROP and historical data access - Time travel concepts and retention - Fail-safe concepts - Zero-copy cloning |
| Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Bulk loading with COPY command - Data unloading and staging - Data ingestion best practices |
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NEW QUESTION # 1019
What COPY INTO SQL command should be used to unload data into multiple files?
Answer: B
Explanation:
The COPY INTO SQL command with the option SINGLE=FALSE is used to unload data into multiple files.
This option allows the data to be split into multiple files during the unload process. References: SnowPro Core Certification COPY INTO SQLcommand unload multiple files
NEW QUESTION # 1020
A Snowflake user is using the QUERY_HISTORY view in the ACCOUNT_USAGE schema to gather information about two queries that ran in the past 10 minutes, but the data is missing. What could cause this to occur?
Answer: C
Explanation:
The correct answer is C. The ACCOUNT_USAGE schema does not provide real-time results .
The ACCOUNT_USAGE schema contains historical metadata and usage information for the Snowflake account, but its views have latency. This means recently executed queries may not appear immediately.
Corrected wording:
The object is typically referred to as the QUERY_HISTORY view in the ACCOUNT_USAGE schema, not QUERY_HISTORY_VIEW.
Why C is correct:
If queries ran only 10 minutes ago, they may not yet appear in SNOWFLAKE.ACCOUNT_USAGE.
QUERY_HISTORY because ACCOUNT_USAGE views are not real-time. For more immediate query history, users can use the INFORMATION_SCHEMA.QUERY_HISTORY table function, subject to its scope and retention limits.
Why the other options are incorrect:
A). Running queries on a multi-cluster warehouse does not prevent query history from being recorded.
B). Queries using the result cache can still appear in query history.
D). If the user lacked privileges, they would generally be unable to query the view or would have limited visibility, but the key clue is that the queries ran in the past 10 minutes.
Official Snowflake documentation reference:
Snowflake documentation states that ACCOUNT_USAGE views can have latency and should not be expected to return real-time data.
Reference: Snowflake Documentation - ACCOUNT_USAGE schema; Snowflake Documentation - QUERY_HISTORY view; Snowflake Documentation - INFORMATION_SCHEMA.QUERY_HISTORY; SnowPro Core Study Guide - Account Usage and Monitoring.
NEW QUESTION # 1021
In Snowpipe, what is the default behavior of the ON_ERROR copy option?
Answer: D
Explanation:
The correct answer is B. SKIP_FILE .
Important correction:
The provided answer A. CONTINUE is not correct for Snowpipe.
For regular bulk loading with COPY INTO < table > , the default ON_ERROR behavior is commonly associated with ABORT_STATEMENT. However, Snowpipe has different behavior. In Snowpipe, the default ON_ERROR option is SKIP_FILE .
Why B is correct:
With ON_ERROR = SKIP_FILE, if Snowpipe encounters an error while loading a file, the file is skipped instead of causing the entire continuous loading process to fail.
Why the other options are incorrect:
A). CONTINUE continues loading and skips individual error rows, but it is not the default Snowpipe behavior.
C). SKIP_FILE_ < num > skips a file after a specified number of errors, but it is not the default.
D). ABORT_STATEMENT is associated with standard COPY INTO < table > behavior, not the default Snowpipe behavior.
Official Snowflake documentation reference:
Snowflake documentation for Snowpipe explains that the default ON_ERROR copy option for Snowpipe is SKIP_FILE.
Reference: Snowflake Documentation - Snowpipe; Snowflake Documentation - CREATE PIPE; Snowflake Documentation - COPY INTO < table > copy options; SnowPro Core Study Guide - Data Loading and Unloading.
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NEW QUESTION # 1022
What is the purpose of an External Function?
Answer: D
Explanation:
The purpose of an External Function in Snowflake is to call code that executes outside of the Snowflake environment.This allows Snowflake to interact with external services and leverage functionalities that are not natively available within Snowflake, such as calling APIs or running custom code hosted on cloud services3.
https://docs.snowflake.com/en/sql-reference/external-functions.html
NEW QUESTION # 1023
The ORDERS table contains 12,000 rows.
Which query will return 10 rows that are randomly sampled from the table every time the query is run?
Answer: C
NEW QUESTION # 1024
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