Snowflake Certified SnowPro Advanced - Data Analyst 試験
最終更新日: 2026/10/13 収録内容確認済 | PDF問題集: 全 100 問収録
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Question No : 1
When maintaining reports and dashboards, why is it essential to configure subscriptions and updates?
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?
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?
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?
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)
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?
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?
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)
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?
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?
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)
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)
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?
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?
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)
正解:
Explanation:
Enriching data through the marketplace expands data sources for correlation and enhances overall data quality.