Higher Test Marks with Free Online SnowPro-Advanced-Data-Analyst Exam Practice

Assess the CertsIQ’s updated SnowPro-Advanced-Data-Analyst exam questions for free online practice of your SnowPro Advanced Data Analyst (DAA-C01) test. Our SnowPro Advanced Data Analyst dumps questions will enhance your chances of passing the SnowPro Certification certification exam with higher marks.

Question 1

When working with CSV, JSON, and Parquet data types in Snowflake, how does selecting the appropriate data format impact query performance and storage efficiency?

Options :

A : Parquet format optimizes query performance and reduces storage requirements

B : CSV format enhances query performance and minimizes storage needs

C : JSON format accelerates query execution but increases storage requirements

D : All formats have similar impacts on query performance and storage

Answer: A

Question 2

When managing Snowsight dashboards, what significance do subscriptions and updates hold in meeting business requirements?

Options :

A : Managing subscriptions and updates complicates dashboard usage.

B : Subscriptions and updates have no impact on dashboard management.

C : They enhance dashboard usability without data updates.

D : Subscriptions and updates ensure timely information delivery.

Answer: D

Question 3

Which considerations are part of best practice for ensuring data integrity structures in Snowflake? (Select all that apply)

Options :

A : Using primary keys for tables

B : Establishing parent-child table joins

C : Ensuring data normalization

D : Implementing redundant constraints

Answer: A,B

Question 4

Why are materialized views valuable in data analysis compared to regular views?

Options :

A : Regular views simplify complex data structures for ease of analysis.

B :

They offer real-time updates reflecting instantaneous database changes.

C : Materialized views provide precomputed snapshots, improving query performance.

D : Materialized views restrict data access, enhancing security.

Answer: C

Question 5

When performing forecasting, which statistical method is commonly used based on historical data?

Options :

A :

Inferential statistics

B : Data normalization

C : Regression analysis

D : Simple data aggregation

Answer: C