DAA-C01 시험 - SnowPro실제시험문제와 답 - 100문항

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.

정답:
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.

정답:
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

정답:
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.

정답:
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

정답:
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.

정답:
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

정답:
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

정답:
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.

정답:
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.

정답:
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

정답:
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

정답:
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

정답:
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.

정답:
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

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

SnowPro DAA-C01 시험