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Snowflake SnowPro Advanced: Data Analyst Certification Exam Sample Questions (Q61-Q66):

NEW QUESTION # 61
Why is the Parquet format preferred for complex data sets?

A. It changes data colors for differentiation
B. It randomly alters data for testing
C. It supports efficient compression and encoding schemes
D. It has visually appealing data presentation

Answer: C

NEW QUESTION # 62
Why are Stored Procedures valuable in data analysis using SQL?

A. They restrict the execution of repetitive tasks, limiting efficiency.
B. They are exclusively used for one-time data operations.
C. Stored Procedures solely facilitate data visualization.
D. Stored Procedures enable custom and repeated data operations, enhancing efficiency.

Answer: D

Explanation:
Stored Procedures aid in data analysis by enabling custom and repeated data operations, enhancing efficiency.

NEW QUESTION # 63
You are investigating why a Snowflake data replication process between two regions is experiencing significant lag. You need to collect data to determine if the issue stems from network latency, insufficient warehouse resources in the target region, or data transformation bottlenecks. Select the data collection methods that will provide the MOST relevant insights.

A. Run traceroute commands between the source and target regions to measure network latency.
B. Monitor the CPU utilization of the virtual machines running the Snowflake service in both regions.
C. Monitor the replication lag metrics (e.g., DATABASE REPLICATION_LAG, TABLE REPLICATION_LAG) exposed through Snowflake system functions and the web interface for both the source and target regions.
D. Restart the data replication process.
E. Analyze the query history in the target region to identify slow-running transformation queries that might be bottlenecking the replication process.

Answer: A,C,E

Explanation:
Options A, B, and C provide specific data points relevant to the identified potential causes. Monitoring replication lag metrics (A) directly quantifies the lag. Traceroute (B) measures network latency. Analyzing query history (C) identifies transformation bottlenecks. Restarting the process (D) might temporarily resolve the issue but doesn't address the root cause. Snowflake manages the underlying infrastructure; therefore, monitoring VM CPU utilization (E) is not something that a data analyst has access to or is needed for the diagnostic in this case. The Snowflake service runs and manages the queries.

NEW QUESTION # 64
You are working with a Snowflake table 'ORDERS that contains order data in a VARIANT column named 'ORDER DETAILS'. The 'ORDER DETAILS column contains JSON objects with nested arrays of product information, including 'product_id', 'quantity', and 'price'. You need to calculate the total revenue for each order. Which of the following SQL snippets correctly calculates the total revenue for each order using LATERAL FLATTEN and aggregation?

A. Option A
B. Option B
C. Option E
D. Option C
E. Option D

Answer: D,E

Explanation:
Snowflake requires explicit casting to numeric datatypes when performing arithmetic operations on VARIANT data. Options A and B do not cast the 'quantity' and 'price' fields to numbers, which would result in incorrect calculations. Option E uses a deprecated ' TO_NUMBER function.

NEW QUESTION # 65
When cleaning data, what role does using clones play in specific use-cases?

A. Clones slow down the data cleaning process significantly
B. Clones are unnecessary for data cleaning tasks
C. Clones aid in isolating and resolving data anomalies
D. Clones help preserve original data for audit purposes only

Answer: C

Explanation:
Clones are beneficial in isolating and resolving data anomalies without impacting the original dataset, facilitating safe data cleaning practices.

NEW QUESTION # 66
......

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Ray Lee Ray Lee

Biography

Test Snowflake DAA-C01 Voucher | Official DAA-C01 Study Guide

Official Snowflake DAA-C01 Study Guide, DAA-C01 Premium Exam

Snowflake SnowPro Advanced: Data Analyst Certification Exam Sample Questions (Q61-Q66):

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