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 actions are typically involved in working with and querying data in Snowflake? (Select all that apply)
- A . Using randomization techniques
- B . Employing time travel for data retrieval
- C . Identifying and handling data anomalies
- D . Leveraging materialized views for aggregations
When manipulating data in Snowflake, what distinguishes aggregate functions from analytic functions?
- A . Aggregate functions handle distinct value sets only
- B . Aggregate functions work on entire datasets
- C . Analytic functions operate on individual rows within a partition
- D . Analytic functions return single calculated values
When selecting and implementing an effective data model, what considerations are crucial for ensuring its suitability for BI requirements? (Select all that apply)
- A . Scalability and flexibility
- B . Conformity to specific database standards only
- C . Extensive data denormalization
- D . Performance and ease of maintenance
How does understanding and analyzing the query execution plan contribute to query optimization in Snowflake?
- A . Restricts access to query results
- B . Facilitates identifying hardware limitations
- C . Helps in generating real-time data updates
- D . Aids in understanding query processing steps and bottlenecks
When implementing pre-math calculations (e.g., randomization, ranking, grouping) in Snowflake, how do they contribute to data analysis?
- A . Randomization techniques introduce biases in data analysis
- B . Pre-math calculations affect only specific data types
- C . Ranking aids in data summarization and ordering
- D . Grouping ensures data integrity and consistency
How do Snowsight dashboards facilitate the presentation of data for business use analyses?
- A . Snowsight dashboards are exclusively text-based, limiting analyses.
- B . Snowsight limits data representation options, hindering analyses.
- C . They enable diverse data representation for effective analyses.
- D . Snowsight doesn’t support visual data representation.
How does leveraging partition pruning enhance query performance in Snowflake?
- A . Limits data access for specific user roles
- B . Reduces metadata storage requirements
- C . Speeds up data loading processes significantly
- D . Optimizes query planning by eliminating unnecessary partitions
Which statistical method is commonly used in forecasting based on historical data?
- A . Regression analysis
- B . Simple data aggregation
- C . Data normalization
- D . Inferential statistics
How does operationalizing data contribute to maintaining reports and dashboards for business requirements?
- A . It limits data accessibility for effective dashboard usage.
- B . Operationalizing data complicates dashboard sharing.
- C . It restricts data updates, affecting dashboard accuracy.
- D . Operationalizing data ensures consistent and efficient usage.
When dealing with JSON data in Snowflake and utilizing built-in functions for traversing, flattening, and nesting, what complexities might arise? (Select all that apply)
- A . Difficulties in parsing and querying nested JSON objects
- B . Complexity in handling nested JSON structures
- C . Challenges in handling specific data types only
- D . Limitations in processing specific JSON data sizes