Snowflake SnowPro Advanced DAA-C01

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消費保證

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付款成功後, 我們的體統將自動通過電子郵箱將你已購買的DAA-C01題库(SnowPro Advanced: Data Analyst Certification Exam)發送到你的郵箱。（如果在12小時內未收到，請聯繫我們，注意：不要忘記檢查你的垃圾郵件。）

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最新的 SnowPro Advanced DAA-C01 免費考試真題:

1. How can a Data Analyst automatically create a table structure for loading a Parquet file?

A) Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE USING TEMPLATE command.
B) Use INFER_SCHEMA together with the CREATE TABLE USING TEMPLATE command.
C) Use the INFER_SCHEMA together with the CREATE TABLE LIKE command.
D) Use the GENERATE_COLUMN_DESCRIPTION with the CREATE TABLE LIKE command.

2. What will the following query return?
SELECT * FROM testtable SAMPLE BLOCK (0.012) REPEATABLE (99992);

A) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample, with the seed set to 99992.
B) A sample containing 99992 records of a table in which each block of rows has a 0.012% probability of being included in the sample.
C) A sample of a table in which each block of rows has a 1.2% probability of being included in the sample where repeated elements are allowed.
D) A sample of a table in which each block of rows has a 0.012% probability of being included in the sample, with the seed set to 99992.

3. What does the "SQL keyword" refer to in the context of adding filters to a worksheet?

A) The name of the function used to generate the filter
B) The name of a User-Defined Function (UDF) used to define the filter "key" values
C) The filter name to be inserted into queries
D) The table name containing the static filter "key" values

4. A Data Analyst created a cost overview dashboard in Snowsight. Management has asked for a system date filter to easily change the time period and refresh the data in all dashboard tiles with a single filter selection.
The system date filter is shown below:

The Analyst wants to apply the filter onto individual dashboard components.
Adding which where clause to the queries will apply the filter as required?

A) Where start_time = :date_filter
B) Where start_time >= dateadd('days', -7, SYSDATE())
C) Where start_time >= dateadd('days', -7, CURRENT_TIMESTAMP())
D) Where start_time = :daterange

5. A large, complicated query is used to generate a data set for a report on the most recent month. It is taking longer than expected. A review of the Query Profile shows excessive spilling. How can the performance of the query be improved WITHOUT increasing costs?

A) Create a materialized view clustered on a date column, on the table that is causing the spilling.
B) Change the source tables into external tables to establish and take advantage of custom partitioning.
C) Split the query into multiple steps, replacing Common Table Expressions (CTEs) with temporary tables to process the data in smaller batches.
D) Run the query against zero-copy clones of the source tables to avoid contention with other queries.

問題與答案：