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| Section | Objectives |
|---|---|
| Topic 1: Snowflake Architecture and Overview | - Virtual warehouses and resource scaling concepts - Snowflake architecture concepts (cloud data platform, separation of storage and compute) |
| Topic 2: Data Transformations and Querying | - Semi-structured data handling (VARIANT, JSON, Parquet) - SQL querying in Snowflake |
| Topic 3: Data Loading and Unloading | - Data unloading and external stages - Bulk loading using stages and COPY INTO |
| Topic 4: Data Protection, Security, and Performance | - Role-based access control (RBAC) - Time Travel and Fail-safe concepts - Query performance optimization basics |
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NEW QUESTION # 455
The Query Profile shows the metrics of a query that ran on a size Large virtual warehouse.
What steps will improve the query performance? (Select TWO).
Answer: B,C
NEW QUESTION # 456
Which Snowflake feature enables loading data from cloud storage as soon as files are available in a stage?
Answer: C
Explanation:
* Snowpipe is Snowflake's continuous data ingestion service that loads data from cloud storage (e.g., S3, Azure Blob, Google Cloud Storage) into Snowflake as soon as the files become available in a stage.
* Snowpipe uses event-driven architecture to automatically detect new files and load them with low- latency.
Why Other Options Are Incorrect:
* A. COPY INTO <location> command: This command is for manual or scheduled bulk data loading, not continuous, automated loading.
* B. Data replication: Used for replicating databases across regions, not for data loading.
* D. Direct share: Used for sharing data between Snowflake accounts, not for loading files.
References:
* Snowpipe Documentation
NEW QUESTION # 457
Which sampling method will return a fixed number of rows?
Answer: B,C
Explanation:
The provided answer D. REPEATABLE is not correct.
In Snowflake, a fixed number of sampled rows is returned by using the SAMPLE ... ROWS syntax, not by using REPEATABLE.
Example:
SELECT *
FROM my_table
SAMPLE (100 ROWS);
This returns a fixed number of rows, subject to available rows in the table.
Why D is incorrect:
REPEATABLE is used to make sampling deterministic by specifying a seed. It does not control the number of rows returned.
Example:
SELECT *
FROM my_table
SAMPLE BERNOULLI (10) REPEATABLE (123);
This means Snowflake repeats the same random sample pattern for the same seed, but the number of returned rows is still based on the sampling method and probability.
Why the other options are incorrect:
A). BLOCK samples blocks of rows, also known as system sampling. It does not guarantee a fixed number of rows.
B). SYSTEM is another name for block sampling. It samples blocks rather than returning an exact row count.
C). BERNOULLI samples each row independently based on a probability. It does not guarantee a fixed number of rows.
Correct Snowflake concept:
To return a fixed number of rows, use:
SAMPLE ( < n > ROWS)
Official Snowflake documentation reference:
Snowflake documentation explains that SAMPLE / TABLESAMPLE supports sampling by probability or by a fixed number of rows. BERNOULLI and SYSTEM are sampling methods, while REPEATABLE specifies a seed for deterministic sampling.
Reference: Snowflake Documentation - SAMPLE / TABLESAMPLE; SnowPro Core Study Guide - SQL and Snowflake Objects.
NEW QUESTION # 458
What command is used to export or unload data from Snowflake?
Answer: C
Explanation:
The command used to export or unload data from Snowflake to a stage (such as a file in an S3 bucket, Azure Blob Storage, or Google Cloud Storage) is thePUTcommand. ThePUTcommand is designed to upload data files from a local file system (in the case of SnowSQL or other client) or a virtual warehouse to a specified stage. This functionality is critical for scenarios where data needs to be extracted from Snowflake for use in external systems, backups, or further processing.
The syntax for thePUTcommand follows the structure:PUT file://<local_file_path> @<stage_name>, where
<local_file_path>specifies the path to the file(s) on the local file system that you wish to upload, and< stage_name>specifies the destination stage in Snowflake.
It's important to distinguish that thePUTcommand is used for exporting data out of Snowflake, whereas the COPY INTO <table>command is used for importing data intoSnowflake from a stage. TheGETcommand, on the other hand, is used to download files from a stage to the local file system, essentially the inverse operation of thePUTcommand.
References:
* Snowflake Documentation on Loading and Unloading Data: [Loading and Unloading Data](https://docs.snowflake.com/en/user-guide/data-load
NEW QUESTION # 459
Which of the following statements describe features of Snowflake data caching? (Choose two.)
Answer: A,E
Explanation:
Snowflake's data caching features include the ability to clear the least-recently used data when the data cache is full to make room for new data. Additionally, the RESULT_SCAN table function can access and filter the contents of the query result cache, allowing users to retrieve and work with the results of previous queries.
The other statements are incorrect: the data cache is not saved on the remote storage layer when a virtual warehouse is suspended, users can access queries from the query result cache that were run by other users, and there is no setting called USE_METADATA_CACHE in Snowflake. References: Caching in the Snowflake Cloud Data Platform, Optimizing the warehouse cache
NEW QUESTION # 460
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