SnowPro DAA-C01 問題練習

Question No : 1
When maintaining reports and dashboards, why is it essential to configure subscriptions and updates?

• A.They limit data accessibility for effective dashboard usage.
• B.Subscriptions and updates ensure timely information delivery.
• C.They complicate dashboard management without any added benefits.
• D.Configuring these features hampers dashboard usability.

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正解:
Explanation:
Subscriptions and updates ensure timely information delivery, a crucial aspect of maintaining reports and dashboards.

Question No : 2
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.

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正解:
Explanation:
Metadata aids in understanding data lineage, contributing to the identification of necessary elements from datasets.

Question No : 3
Which action is essential in performing exploratory ad-hoc analyses?

• A.Focusing solely on established trends without investigating anomalies
• B.Utilizing ad-hoc queries to examine patterns and anomalies
• C.Analyzing a small subset of the available data
• D.Relying solely on predefined queries without exploration

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正解:
Explanation:
Ad-hoc analysis involves using queries to explore patterns and anomalies beyond predefined routines.

Question No : 4
How do materialized views differ from secure views in data analysis?

• A.Secure views provide precomputed snapshots, unlike materialized views.
• B.Materialized views offer enhanced data security while allowing selective data access.
• C.Secure views precompute data, unlike materialized views.
• D.Materialized views restrict data access for improved security.

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正解:
Explanation:
Secure views offer enhanced data security without precomputing data, distinguishing them from materialized views.

Question No : 5
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

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正解:
Explanation:
Evaluating necessary transformations involves considering data consistency, normalization, and alignment with business use cases.

Question No : 6
Which statement accurately describes the use of regular views in data analysis?

• A.Regular views are exclusively used for administrative tasks.
• B.Regular views limit data accessibility for improved security.
• C.They simplify complex data structures, aiding ease of analysis.
• D.Regular views offer real-time updates to reflect instantaneous database changes.

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正解:
Explanation:
Regular views aid analysis by simplifying complex data structures, improving comprehension.

Question No : 7
In Snowflake, what factors determine the effectiveness of using materialized views for query optimization?

• A.Limitations in accessing historical data
• B.Compatibility with specific BI tools only
• C.Query result caching capabilities
• D.Frequency of data updates and refresh requirements

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正解:
Explanation:
Materialized views' effectiveness depends on factors like data update frequency and query result caching, impacting query optimization based on the nature of data updates and caching capabilities.

Question No : 8
When evaluating and selecting data for building dashboards, what factors should be considered for ensuring data relevance and usefulness? (Select all that apply)

• A.Ignoring data complexities for simplicity in visualization
• B.Evaluating data based on business requirements
• C.Including all available data for comprehensive visualization
• D.Filtering data based on irrelevant attributes

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正解:
Explanation:
To ensure relevant and useful dashboards, data must be evaluated based on business requirements and filtered for irrelevant attributes.

Question No : 9
In Snowflake, how do window functions differ from table functions?

• A.Window functions modify table structures.
• B.Window functions work on entire tables.
• C.Table functions return tables as results.
• D.Table functions operate on windowed rows.

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正解:
Explanation:
Table functions operate on windowed rows, distinguishing them from window functions in Snowflake.

Question No : 10
How do materialized views differ from regular views in the context of data analysis?

• A.Regular views provide a persisted snapshot of data, unlike materialized views.
• B.Materialized views restrict data accessibility compared to regular views.
• C.Regular views offer precomputed snapshots, differentiating them from materialized views.
• D.Materialized views simplify complex data structures for ease of analysis, unlike regular views.

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正解:
Explanation:
Materialized views offer precomputed snapshots, differentiating them from regular views.

Question No : 11
When customizing data presentations in dashboards using filtering and editing techniques, what advantages do these methods offer? (Select all that apply)

• A.Enhanced data accuracy
• B.Limited data exploration
• C.Improved data relevancy
• D.Simplified data representation

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正解:
Explanation:
Customizing through filtering and editing enhances data accuracy and relevancy in dashboards.

Question No : 12
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

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正解:
Explanation:
Data integrity practices in Snowflake involve using primary keys for tables and establishing effective parent-child table joins.

Question No : 13
What attributes of the Query Profile are typically assessed to understand query performance in Snowflake?

• A.Query history and user access logs
• B.Execution time and query complexity
• C.Number of user sessions and database objects accessed
• D.Hardware configuration and system resources

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正解:
Explanation:
Query Profile attributes like execution time and query complexity are evaluated to comprehend query performance and optimize it in Snowflake.

Question No : 14
What distinguishes Materialized views from Secure views in the context of data analysis?

• A.Secure views provide a precomputed snapshot of data, unlike Materialized views.
• B.Materialized views restrict data access for security purposes, unlike Secure views.
• C.Materialized views enhance data security, while Secure views offer improved query performance.
• D.Secure views provide enhanced data security without precomputing data.

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正解:
Explanation:
Secure views offer enhanced data security without precomputing data, distinguishing them from Materialized views.

Question No : 15
How does enriching data through Snowflake Marketplace benefit data analysis? (Select all that apply)

• A.Increases data redundancy
• B.Expands data sources for correlation
• C.Supports better data normalization
• D.Facilitates better data quality

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正解:
Explanation:
Enriching data through the marketplace expands data sources for correlation and enhances overall data quality.