SnowPro DAA-C01 Übungsprüfungen
Zuletzt aktualisiert am 26.04.2025- Prüfungscode: DAA-C01
- Prüfungsname: Snowflake Certified SnowPro Advanced - Data Analyst
- Zertifizierungsanbieter: SnowPro
- Zuletzt aktualisiert am: 26.04.2025
What factors should be considered when evaluating which transformations are required in data discovery? (Select all that apply)
- A . Data consistency
- B . Business use cases
- C . Data redundancy
- D . Data normalization
In data presentations for business use analyses, what significance do identifying patterns and trends hold?
- A . It complicates data analysis, hindering decision-making.
- B . Recognizing patterns and trends limits data exploration.
- C . Identifying patterns and trends aids in insightful analyses.
- D . Patterns and trends don’t impact business use analyses significantly.
When using Data Vault modeling techniques in Snowflake, what advantages do they offer over other modeling approaches for certain use-cases?
- A . Limits support for different data types
- B . Reduces data access control for user roles
- C . Simplifies data integration and accommodates rapid changes
- D . Restricts data transformation possibilities
When employing window functions versus table functions in Snowflake, how do they differ in their application and output?
- A . Table functions return tables as their output
- B . Window functions operate on entire datasets and generate tables as output
- C . Window functions provide aggregate results and modify table structures directly
- D . Table functions process data within specified partitions or frames
In Snowflake, how does the implementation of primary keys for tables contribute to data integrity?
- A . Enforces uniqueness in table rows
- B . Only works on specific data types
- C . Requires data redundancy
- D . Limits data access for users
When handling CSV, JSON, and Parquet data types for consumption, what advantages do Parquet files typically offer over the others?
- A . JSON files offer more flexibility in schema changes
- B . CSV files are more efficient in handling nested data structures
- C . Parquet files provide better compression and query performance
- D . Parquet files are not suitable for large datasets
How do Snowsight dashboards facilitate the presentation of data for business use analyses?
- A . Snowsight limits data representation options, hindering analyses.
- B . Snowsight doesn’t support visual data representation.
- C . They enable diverse data representation for effective analyses.
- D . Snowsight dashboards are exclusively text-based, limiting analyses.
When managing Snowsight dashboards, what significance do subscriptions and updates hold in meeting business requirements?
- A . Managing subscriptions and updates complicates dashboard usage.
- B . Subscriptions and updates have no impact on dashboard management.
- C . Subscriptions and updates ensure timely information delivery.
- D . They enhance dashboard usability without data updates.
In performing data discovery to identify necessary elements from available datasets, what role do metadata play in this process?
- A . Metadata impacts data transformation processes.
- B . Metadata has no role in data discovery.
- C . Metadata provides insights into data structure only.
- D . Metadata helps in data lineage understanding.
When maintaining reports and dashboards, why is it essential to build automated and repeatable tasks?
- A . Automated tasks increase dashboard management complexity.
- B . Repeatable tasks hinder data updates in dashboards.
- C . They ensure inconsistency in reports and dashboards.
- D . Automated tasks reduce manual efforts, ensuring consistency.