Data Scientist can query, process, and transform data in a which of the following ways using Snowpark Python. [Select 2]
A. Transform Data using DataIKY tool with SnowPark API.
B. SnowPark currently do not support writing UDTF.
C. Write a user-defined tabular function (UDTF) that processes data and returns data in a set of rows with one or more columns.
D. Query and process data with a DataFrame object.
正解:B,D
解説: (Pass4Test メンバーにのみ表示されます)
質問 2:
Mark the Incorrect understanding of Data Scientist about Streams?
A. Streams on views support both local views and views shared using Snowflake Secure Data Sharing, including secure views.
B. Streams can track changes in materialized views.
C. Streams itself does not contain any table data.
D. Streams do not support repeatable read isolation.
正解:B,D
解説: (Pass4Test メンバーにのみ表示されます)
質問 3:
Which of the following Functions do Support Windowing?
A. ENCRYPT
B. LISTAGG
C. HASH_AGG
D. EXTRACT
正解:B
解説: (Pass4Test メンバーにのみ表示されます)
質問 4:
Which Python method can be used to Remove duplicates by Data scientist?
A. remove_duplicates()
B. duplicates()
C. drop_duplicates()
D. clean_duplicates()
正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 5:
Which one is not the feature engineering techniques used in ML data science world?
A. Statistical
B. Binning
C. Imputation
D. One hot encoding
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
質問 6:
Which type of Python UDFs let you define Python functions that receive batches of input rows as Pandas DataFrames and return batches of results as Pandas arrays or Series?
A. Scaler Python UDFs
B. MPP Python UDFs
C. Vectorized Python UDFs
D. Hybrid Python UDFs
正解:C
解説: (Pass4Test メンバーにのみ表示されます)
Konno -
先日DSA-C02の参考書を購入し、これだけで受かりました。
時間も残し、余裕でした。試験合格ならこの問題集は十分です。お薦めします。
ありがとうございました。