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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Topic 2: 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 3: Data Sharing | 12% | - Reader account management - Private sharing vs. Data Exchange - Data listing marketplace - Shares and reader accounts |
| Topic 4: Databases, Tables & Views | 18% | - Column types and sequences - Clustering and micro-partitions - Data manipulation (DML operations) - Table types (permanent, transient, temporary) - Stored procedures and UDFs - Views (standard, materialized, secure) |
| Topic 5: Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - VARIANT data type - Array and object operations |
| Topic 6: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage - Snowflake editions and features |
| Topic 7: Virtual Warehouses | 15% | - Warehouse creation and configuration - Multi-cluster warehouses - Cache concepts (warehouse, result, metadata) - Warehouse monitoring and troubleshooting - Warehouse sizing and scaling |
| Topic 8: Time Travel & Cloning | 10% | - Zero-copy cloning - UNDROP and historical data access - Fail-safe concepts - Time travel concepts and retention |
| Topic 9: Security & Access Control | 10% | - Authorization (roles, privileges) - Masking policies - Governance best practices - Row-level and column-level security - Authentication (SSO, MFA) |
| Topic 10: Performance Optimization & Monitoring | 4% | - Resource optimization techniques - Query profiling and performance tuning - Query history and monitoring |
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NEW QUESTION # 222
Which of the following statements describes a schema in Snowflake?
Answer: A
Explanation:
A schema in Snowflake is a logical grouping of database objects, such as tables and views, that belongs to a single database.Each schema is part of a namespace in Snowflake, which is inferred from the current database and schema in use for the session5
NEW QUESTION # 223
Which Snowflake layer is always leveraged when accessing a query from the result cache?
Answer: C
Explanation:
The Cloud Services layer in Snowflake is responsible for managing the result cache.When a query is executed, the results are stored in this cache, and subsequent identical queries can leverage these cached results without re-executing the entire query1.
NEW QUESTION # 224
Which object type is granted permissions for reading a table?
Answer: C
Explanation:
In Snowflake, permissions for accessing database objects, including tables, are not granted directly to users but rather to roles. A role encapsulates a collection of privileges on various Snowflake objects. Users are then granted roles, and through those roles, they inherit the permissions necessary to read a table or perform other actions. This approach adheres to the principle of least privilege, allowing for granular control over database access and simplifying the management of user permissions.
NEW QUESTION # 225
When a replication schedule is set, how does Snowflake manage refreshes for failover groups?
Answer: B
Explanation:
The correct answer is B. Only one refresh will run at a time .
Failover groups can be refreshed on a schedule to replicate supported account objects and database objects to target accounts. Snowflake does not run overlapping refresh operations for the same failover group.
Why B is correct:
If a scheduled refresh is still running, Snowflake does not start another concurrent refresh for the same failover group. Refresh operations are managed so that only one refresh runs at a time.
Why the other options are incorrect:
A). Multiple refreshes for the same failover group do not run concurrently.
C). Refreshes still require the appropriate privileges and configured replication/failover group permissions.
D). A delayed or long-running refresh does not mean the next refresh is automatically canceled in the way stated. The key behavior is that refreshes do not overlap.
Official Snowflake documentation reference:
Snowflake documentation for replication and failover groups explains that scheduled refreshes are managed by Snowflake and that refresh operations do not run concurrently for the same group.
Reference: Snowflake Documentation - Replication and failover groups; Snowflake Documentation - Failover group refresh; SnowPro Core Study Guide - Snowflake Account and Resource Management.
NEW QUESTION # 226
Which table type is optimized for transactional workloads?
Answer: B
Explanation:
The correct answer is B. Hybrid .
A hybrid table is Snowflake's table type designed for transactional workloads. Hybrid tables support row- level operations and are optimized for low-latency, high-concurrency transactional access patterns.
Why B is correct:
Hybrid tables are intended for transactional and operational workloads, such as applications that require fast point lookups, inserts, updates, and deletes.
Why the other options are incorrect:
A). Event tables store event and log data generated by Snowflake features such as Snowpark logging and tracing.
C). Dynamic tables are used for automated data transformation pipelines. They are not optimized for transactional workloads.
D). Permanent tables are the standard Snowflake table type for persistent analytical storage, but they are not specifically optimized for transactional workloads like hybrid tables.
Official Snowflake documentation reference:
Snowflake documentation describes hybrid tables as Snowflake tables optimized for transactional workloads that require low-latency reads and writes.
Reference: Snowflake Documentation - Hybrid tables; Snowflake Documentation - Table types; SnowPro Core Study Guide - SQL and Snowflake Objects.
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NEW QUESTION # 227
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