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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features - Virtual warehouse concepts and credit usage |
| Topic 2: Databases, Tables & Views | 18% | - Views (standard, materialized, secure) - Stored procedures and UDFs - Table types (permanent, transient, temporary) - Data manipulation (DML operations) - Column types and sequences - Clustering and micro-partitions |
| Topic 3: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Query history and monitoring - Resource optimization techniques |
| Topic 4: Security & Access Control | 10% | - Authorization (roles, privileges) - Governance best practices - Masking policies - Row-level and column-level security - Authentication (SSO, MFA) |
| Topic 5: Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Topic 6: Data Sharing | 12% | - Private sharing vs. Data Exchange - Data listing marketplace - Reader account management - Shares and reader accounts |
| Topic 7: Semi-Structured Data | 10% | - VARIANT data type - Array and object operations - Parsing and flattening semi-structured data |
| Topic 8: Time Travel & Cloning | 10% | - UNDROP and historical data access - Fail-safe concepts - Time travel concepts and retention - Zero-copy cloning |
| Topic 9: Data Loading & Unloading | 15% | - Data unloading and staging - File formats (JSON, CSV, Parquet, AVRO) - Bulk loading with COPY command - Data ingestion best practices - Continuous loading with Snowpipe |
| Topic 10: Virtual Warehouses | 15% | - Warehouse monitoring and troubleshooting - Cache concepts (warehouse, result, metadata) - Warehouse creation and configuration - Warehouse sizing and scaling - Multi-cluster warehouses |
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NEW QUESTION # 387
When cloning a database, what is cloned with the database? (Choose two.)
Answer: B,E
Explanation:
When cloning a database in Snowflake, the clone includes all privileges on the database as well as existing child objects within the database, such as schemas, tables, views, etc. However, it does not include future child objects or privileges on schemas within the database2.
References = [ COF-C03 ] SnowPro Core Certification Exam Study Guide, Snowflake Documentation
NEW QUESTION # 388
What calculation of metrics found in the QUERY_HISTORY view can be used to determine whether optimizing virtual warehouse caching will improve the performance of a long-running query?
Answer: B
Explanation:
The useful calculation is based on BYTES_SCANNED and PERCENTAGE_SCANNED_FROM_CACHE.
These metrics help estimate how much scanned data came from the warehouse cache. A low cache percentage on a query that scans many bytes may indicate that warehouse cache optimization could help.
Corrected note: the original options had OCR errors. The best matching valid answer is B .
Reference: Snowflake Documentation - QUERY_HISTORY view; Warehouse cache; Query performance monitoring.
NEW QUESTION # 389
A data provider wants to share data with a consumer who does not have a Snowflake account. The provider creates a reader account for the consumer following these steps:
1. Created a user called " CONSUMER "
2. Created a database to hold the share and an extra-small warehouse to query the data
3. Granted the role PUBLIC the following privileges: Usage on the warehouse, database, and schema, and SELECT on all the objects in the share Based on this configuration what is true of the reader account?
Answer: B
Explanation:
The reader account compute will be billed to the provider account. Very Comprehensive Explanation: In Snowflake, when a provider creates a reader account for a consumer who does not have a Snowflake account, the compute resources used by the reader account are billed to the provider's account. This allows the consumer to query the shared data without incurring any costs. References: [ COF-C03 ] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 390
The property mins_to_bypass_network_policy is set at which level?
Answer: A
Explanation:
The property mins_to_bypass_network_policy is set at the account level in Snowflake. This setting allows administrators to specify a time frame during which users can bypass network policies that have been set on their account. It is particularly useful in scenarios where temporary access needs to be granted from IPs not covered by the existing network policies. By adjusting this property at the account level, Snowflake administrators can manage and enforce network access controls efficiently across the entire account.
References:
Snowflake Documentation on Network Policies: Network Policies
NEW QUESTION # 391
What persistent data structures are used by the search optimization service to improve the performance of point lookups?
Answer: C
Explanation:
The search optimization service in Snowflake uses persistent data structures known as search access paths to improve the performance of point lookups. These structures enable efficient retrieval of data by reducing the amount of data scanned during queries.
Search Access Paths:
Search access paths are special indexing structures maintained by the search optimization service.
They store metadata about the distribution of data within tables, enabling faster lookups for specific values.
Point Lookups:
Point lookups involve searching for a specific value within a column.
By leveraging search access paths, Snowflake can quickly locate the exact micro-partition containing the value, minimizing the amount of data scanned.
Performance Improvement:
The use of search access paths significantly reduces query execution time for point lookups.
This is especially beneficial for large tables where scanning all micro-partitions would be computationally expensive.
Snowflake Documentation: Search Optimization Service
Snowflake Documentation: Understanding Search Access Paths
NEW QUESTION # 392
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