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  1. Home
  2. Snowflake Certification
  3. SnowPro-Core Exam
  4. Snowflake.SnowPro-Core.v2024-10-07.q429 Dumps
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Question 191

Regardless of which notation is used, what are considerations for writing the column name and element names when traversing semi-structured data?

Correct Answer: D
When querying semi-structured data in Snowflake, the behavior towards case sensitivity is distinct between column names and the names of elements within the semi-structured data. Column names follow the general SQL norm of being case-insensitive, meaning you can reference them in any case without affecting the query.
However, element names within JSON, XML, or other semi-structured data are case-sensitive. This distinction is crucial for accurate data retrieval and manipulation in Snowflake, especially when working with JSON objects where the case of keys can significantly alter the outcome of queries.
References:
* Snowflake Documentation: Querying Semi-structured Data
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Question 192

What is the minimum Snowflake edition that customers planning on storing protected information in Snowflake should consider for regulatory compliance?

Correct Answer: D
Reference: https://docs.snowflake.com/en/user-guide/intro-editions.html
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Question 193

When unloading data to an external stage, what is the MAXIMUM file size supported?

Correct Answer: B
When unloading data to an external stage, the maximum file size supported is 5 GB. This limit ensures efficient data transfer and management within Snowflake's architecture
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Question 194

Using variables in Snowflake is denoted by using which SQL character?

Correct Answer: C
VeryComprehensiveExplanation=InSnowflake,variablesaredenotedbyadollarsign(). Variables can be used in SQL statements where a literal constant is allowed, and they must be prefixed with a $ sign to distinguish them from bind values and column names.
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Question 195

A user has 10 files in a stage containing new customer data. The ingest operation completes with no errors, using the following command:
COPY INTO my__table FROM @my__stage;
The next day the user adds 10 files to the stage so that now the stage contains a mixture of new customer data and updates to the previous data. The user did not remove the 10 original files.
If the user runs the same copy into command what will happen?

Correct Answer: A
When the COPY INTO command is executed in Snowflake, it processes all files present in the specified stage that have not been ingested before or marked as already loaded. Since the user did not remove the original 10 files after the first load, running the same COPY INTO command again will result in all 20 files being processed. This means that the data from the original 10 files will be appended to the table again, along with the data from the new 10 files, potentially leading to duplicate records for the original data set.
References:
* Snowflake Documentation on Data Loading
* SnowPro Core Certification Study Guide
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