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
Which aspects are important when making predictions based on data for forecasting purposes? (Select all that apply)
- A . Incorporating statistical methods for accurate predictions
- B . Using only basic arithmetic functions for forecasting
- C . Relying solely on historical data without considering external factors
- D . Considering trends and anomalies in historical data
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 . Patterns and trends don’t impact business use analyses significantly.
- D . Identifying patterns and trends aids in insightful analyses.
When conducting diagnostic analysis, why is it essential to collect related data and demographics?
- A . To focus solely on isolated anomalies
- B . To restrict analysis to recent data only
- C . It assists in identifying reasons/causes of anomalies in historical data
- D . To overlook statistical trends in historical data
How do exploratory ad-hoc analyses differ from routine analysis?
- A . They involve querying known patterns without exploring further.
- B . Ad-hoc analyses deviate from established routines, exploring patterns and anomalies in data.
- C . Ad-hoc analyses focus on anomalies and established trends.
- D . Ad-hoc analyses rely heavily on predefined queries.
When performing a descriptive analysis using Snowsight dashboards, how do they assist in summarizing large data sets?
- A . Snowsight dashboards provide visual representations aiding in quick comprehension.
- B . Snowsight dashboards limit visualization options for large data sets.
- C . They offer detailed textual summaries instead of visual representations.
- D . They cannot handle large data sets efficiently for summarization.
When creating reports and dashboards, how does evaluating data based on business requirements impact the visualization process?
- A . It limits data selection, affecting overall dashboard quality.
- B . Business requirements have no impact on data selection for visualization.
- C . Evaluating data ensures relevant and useful dashboard content.
- D . Evaluating data complicates dashboard creation.
How does incorporating visualizations in reports and dashboards aid in presenting data for business use analyses?
- A . Visualizations complicate data representation, hindering analysis.
- B . Presenting data visually doesn’t impact business use analyses.
- C . It limits data presentation to textual formats only.
- D . Visualizations enhance data comprehension for effective analysis.
Which considerations are part of best practice for ensuring data integrity structures in Snowflake? (Select all that apply)
- A . Establishing parent-child table joins
- B . Ensuring data normalization
- C . Implementing redundant constraints
- D . Using primary keys for tables
How does Snowsight’s ability to load different types of data impact data preparation for analysis?
- A . Requires manual transformation for diverse data types
- B . Restricts data preparation to structured formats only
- C . Limits data access for analysis purposes
- D . Streamlines loading of various data formats
What is the primary benefit of using User-Defined Functions (UDFs) in SQL for data analysis?
- A . They enable customization and extension of SQL functionalities for specific data operations.
- B . UDFs restrict data analysis to predefined operations.
- C . UDFs can only be used with Materialized views.
- D . UDFs hinder query optimization.