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| Section | Objectives |
|---|---|
| Topic 1: Snowflake Architecture and Platform Concepts | - Storage and data organization - Virtual warehouses and compute model - Snowflake architecture fundamentals |
| Topic 2: Security and Access Control | - Authentication and user management - Role-based access control (RBAC) |
| Topic 3: Data Loading and Unloading | - Bulk data loading using stages and COPY INTO - External and internal stages |
| Topic 4: Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
| Topic 5: Data Transformation and Processing | - SQL operations in Snowflake - Streams and tasks for data pipelines |
| Topic 6: Performance and Optimization | - Query optimization basics - Warehouse sizing and scaling |
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NEW QUESTION # 178
Which command is used in Snowflake to manually refresh a directory table?
Answer: C
Explanation:
The correct answer is B. ALTER STAGE .
Directory tables are associated with stages. To manually refresh the metadata in a directory table, the stage is refreshed using the ALTER STAGE ... REFRESH command.
Why B is correct:
A directory table stores file-level metadata for files in a stage. Since the directory table is tied to the stage, the manual refresh operation is performed through the stage.
Example:
ALTER STAGE my_stage REFRESH;
This refreshes the directory table metadata for the stage.
Why the other options are incorrect:
A). TRUNCATE STAGE is not the command used to refresh directory table metadata.
C). ALTER TABLE is used to modify table properties, not refresh a directory table associated with a stage.
D). ALTER VIEW is used to modify views, not directory tables.
Official Snowflake documentation reference:
Snowflake documentation explains that directory table metadata can be refreshed manually using ALTER STAGE ... REFRESH.
Reference: Snowflake Documentation - Directory tables; Snowflake Documentation - ALTER STAGE; SnowPro Core Study Guide - Data Loading and Unloading.
NEW QUESTION # 179
What are benefits of using reader accounts when sharing data in Snowflake? (Select TWO)
Answer: B,E
Explanation:
Reader accounts are created by data providers for consumers who do not have their own Snowflake accounts. This allows providers to share data without requiring the consumer to create or pay for their own Snowflake account.
While a consumer can access multiple shares via a single reader account , administrative functions (like resource monitors) are managed by the provider.
Reference:
Snowflake Docs: Data Sharing: Reader Accounts
NEW QUESTION # 180
A table gets updated throughout the day. A user wants to automate the process of table changes by capturing only the changed rows every 20 minutes and applying transformations without manual intervention. How can this be accomplished?
Answer: B
Explanation:
The correct answer is C. Create a stream and schedule a task every 20 minutes.
A stream is used to capture change data capture, or CDC, information for a table. It records inserts, updates, and deletes made to the source table. A task is used to automate SQL execution on a schedule. Together, streams and tasks are commonly used to automate incremental data processing in Snowflake.
Why C is correct:
The requirement has two parts:
Capture only changed rows.
Run the transformation automatically every 20 minutes.
A stream satisfies the first requirement because it tracks changed rows. A scheduled task satisfies the second requirement because it can run SQL logic at a defined interval, such as every 20 minutes.
Example concept:
CREATE STREAM my_stream
ON TABLE source_table;
CREATE TASK my_task
WAREHOUSE = my_warehouse
SCHEDULE = ' 20 MINUTE '
AS
INSERT INTO target_table
SELECT ...
FROM my_stream;
Why the other options are incorrect:
A). This is partially correct, but it does not clearly satisfy the requirement to run every 20 minutes. A task can include a WHEN SYSTEM$STREAM_HAS_DATA(...) condition, but the question specifically asks for processing every 20 minutes.
B). A task alone can run every 20 minutes, but it does not capture only changed rows.
D). Dynamic tables are used for declarative automated data transformation, but the question specifically asks to capture only changed rows from a frequently updated table, which is the purpose of a stream.
Official Snowflake documentation reference:
Snowflake documentation describes streams as objects that record data manipulation language, or DML, changes made to tables. Snowflake tasks execute SQL statements on a schedule or as part of a task graph.
Reference: Snowflake Documentation - Streams; Snowflake Documentation - Introduction to tasks; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 181
What would cause different results to be returned when running the same query twice?
Answer: A
Explanation:
When using the SAMPLE clause in a query, if the seed is not set, Snowflake will use a different random seed for each execution of the query. This results in different rows being sampled each time, leading to different results. Setting a seed ensures that the same rows are sampled each time the query is run.
References:
Snowflake Documentation: Sampling
NEW QUESTION # 182
Which technical needs require Enterprise Edition? Select TWO.
Answer: A,B
Explanation:
Enterprise Edition includes features such as multi-cluster warehouses and column-level security features.
Multi-cluster warehouses are used for high concurrency, and column-level security includes features such as masking policies.
Why the others are incorrect:
Network policies are available below Enterprise. Private connectivity and Tri-Secret Secure require Business Critical or higher, not merely Enterprise.
Reference: Snowflake Documentation - Snowflake editions; Multi-cluster warehouses; Column-level security.
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NEW QUESTION # 183
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