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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Account Objects | 8% | - Warehouses, databases, and schemas hierarchy - Resource monitors - Organizations and accounts structure |
| Topic 2: Semi-Structured Data | 10% | - Array and object operations - VARIANT data type - Parsing and flattening semi-structured data |
| Topic 3: Data Loading & Unloading | 15% | - Bulk loading with COPY command - Data ingestion best practices - Data unloading and staging - Continuous loading with Snowpipe - File formats (JSON, CSV, Parquet, AVRO) |
| Topic 4: Time Travel & Cloning | 10% | - Fail-safe concepts - Time travel concepts and retention - Zero-copy cloning - UNDROP and historical data access |
| Topic 5: Data Sharing | 12% | - Private sharing vs. Data Exchange - Reader account management - Data listing marketplace - Shares and reader accounts |
| Topic 6: Security & Access Control | 10% | - Governance best practices - Masking policies - Row-level and column-level security - Authentication (SSO, MFA) - Authorization (roles, privileges) |
| Topic 7: Virtual Warehouses | 15% | - Warehouse creation and configuration - Cache concepts (warehouse, result, metadata) - Multi-cluster warehouses - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling |
| Topic 8: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage - Snowflake editions and features |
| Topic 9: Databases, Tables & Views | 18% | - Stored procedures and UDFs - Column types and sequences - Clustering and micro-partitions - Table types (permanent, transient, temporary) - Views (standard, materialized, secure) - Data manipulation (DML operations) |
| Topic 10: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Query history and monitoring - Resource optimization techniques |
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NEW QUESTION # 1145
Which view or command provides the most detailed storage information for a table?
Answer: A
Explanation:
The correct answer is D. ACCOUNT_USAGE.TABLE_STORAGE_METRICS .
ACCOUNT_USAGE.TABLE_STORAGE_METRICS provides detailed storage metrics for tables, including active bytes, Time Travel bytes, Fail-safe bytes, and retained-for-clone bytes. This view is more detailed for table-level storage than SHOW TABLES or DESC TABLE.
Why D is correct:
TABLE_STORAGE_METRICS is designed specifically to report table-level storage usage.
Why the other options are incorrect:
A). SHOW TABLES provides table metadata, but not the most detailed storage breakdown.
B). DESC TABLE describes the table structure, such as columns and data types, not detailed storage consumption.
C). ACCOUNT_USAGE.STORAGE_USAGE provides account-level storage usage, not the most detailed table-level storage metrics.
Official Snowflake documentation reference:
Snowflake documentation describes ACCOUNT_USAGE.TABLE_STORAGE_METRICS as a view that provides storage information for tables, including active, Time Travel, Fail-safe, and retained-for-clone storage.
Reference: Snowflake Documentation - ACCOUNT_USAGE.TABLE_STORAGE_METRICS; Snowflake Documentation - Storage usage; SnowPro Core Study Guide - Snowflake Account and Resource Management.
NEW QUESTION # 1146
Which command line parameter value can be pre-specified as an environment variable in SnowSQL?
Answer: B
NEW QUESTION # 1147
Which Snowflake command can be used to unload the result of a query to a single file?
Answer: C
Explanation:
The Snowflake command to unload the result of a query to a single file is COPY INTO <internal stage> with SINGLE = TRUE followed by a GET command to download the file.This command unloads the query result into a single file in the specified internal stage
NEW QUESTION # 1148
When a schema is cloned, what will happen if the schema includes a table with a column that references a sequence that generates default values? (Select TWO).
Answer: B,D
NEW QUESTION # 1149
When a multi-cluster virtual warehouse is using an Economy scaling policy, when will an additional cluster be automatically started to handle queued queries?
Answer: A
Explanation:
The correct answer is D. When the system estimates that there is enough query load to keep the new cluster busy for at least 6 minutes .
In Snowflake, a multi-cluster warehouse can use either a Standard or Economy scaling policy. The Economy scaling policy is more conservative. It starts additional clusters only when Snowflake estimates that the extra cluster will have enough work to justify the additional compute cost.
Why D is correct:
With the Economy scaling policy, Snowflake starts another cluster only if the system estimates there is enough query load to keep the new cluster busy for approximately 6 minutes. This helps reduce credit consumption by avoiding unnecessary short-lived cluster starts.
Why the other options are incorrect:
A). The condition is not based on all active clusters running queries for more than 6 minutes.
B). A single queued query for more than 6 minutes is not the exact Economy scaling rule.
C). The rule is not specifically based on 3 or more queued queries.
D). This matches Snowflake's documented behavior for the Economy scaling policy.
Official Snowflake documentation reference:
Snowflake documentation explains that the Economy scaling policy conserves credits by starting additional clusters only when Snowflake estimates enough query load exists to keep the cluster busy for at least 6 minutes.
Reference: Snowflake Documentation - Multi-cluster warehouses; Snowflake Documentation - Scaling policy; SnowPro Core Study Guide - Virtual Warehouses and Resource Management.
NEW QUESTION # 1150
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