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| Section | Objectives |
|---|---|
| Snowflake Architecture and Overview | - Virtual warehouses and resource scaling concepts - Snowflake architecture concepts (cloud data platform, separation of storage and compute) |
| Data Transformations and Querying | - Semi-structured data handling (VARIANT, JSON, Parquet) - SQL querying in Snowflake |
| Data Protection, Security, and Performance | - Query performance optimization basics - Time Travel and Fail-safe concepts - Role-based access control (RBAC) |
| Data Loading and Unloading | - Data unloading and external stages - Bulk loading using stages and COPY INTO |
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NEW QUESTION # 443
Which of the following describes the Snowflake Cloud Services layer?
Answer: B
NEW QUESTION # 444
Which features make up Snowflake's column level security? (Select TWO).
Answer: A,B
Explanation:
Snowflake's column level security features include Dynamic Data Masking and External Tokenization. Dynamic Data Masking uses masking policies to selectively mask data at query time, while External Tokenization allows for the tokenization of data before loading it into Snowflake and detokenizing it at query runtime5.
NEW QUESTION # 445
What does Snowflake recommend when planning virtual warehouse usage for a data load?
Answer: D
Explanation:
* Snowflake recommends dedicating a separate virtual warehouse for loading data to ensure the compute resources used for data ingestion do not impact query performance.
* Benefits:
* Isolates data load operations from query workloads.
* Allows better control over warehouse size and auto-suspend settings specific to loading operations.
References:
* Snowflake Documentation: Best Practices for Loading Data
* Snowflake Warehouse Scaling Guidance
NEW QUESTION # 446
Which sampling method will return a fixed number of rows?
Answer: A,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 # 447
What are two ways to create and manage Data Shares in Snowflake? (Choose two.)
Answer: B,D
Explanation:
In Snowflake, Data Shares can be created and managed in two primary ways:
* Via the Snowflake Web Interface (UI): Users can create and manage shares through the graphical interface provided by Snowflake, which allows for a user-friendly experience.
* Via SQL commands: Snowflake also allows the creation and management of shares using SQL commands. This method is more suited for users who prefer scripting or need to automate the process.
Reference: https://docs.snowflake.com/en/user-guide/data-sharing-provider.html
NEW QUESTION # 448
......
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