A00-223 Data Curation for SAS Data Scientists Exam Free Dumps

dumps2025-05-17T09:38:32+08:00

A00-223 Data Curation for SAS Data Scientists exam will be retired on June 30, 2025. If you are preparing for A00-223 exam, please take it before the retirement date. There are 65-72 multiple-choice, short answer, and interactive questions in real A00-223 exam, and you have 110 minutes to answer all the questions. The required passing score is 67%. The exam price is $180. We provide the latest Data Curation for SAS Data Scientists A00-223 exam dumps, which can ensure you pass the test easily. Free Data Curation for SAS Data Scientists A00-223 exam dumps are available below.

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1. In SAS Federation Server, _______ is used to secure access to data by defining roles and permissions.

Access Control List (ACL)

Role Manager

Virtual Database

Authentication System

2. In SAS Event Stream Processing, what is the role of a window?

To act as a container for holding data temporarily

To define the data sources for analysis

To specify the time range for streaming data analysis

To create a graphical report of the data

3. When using the DataFlux Data Management Studio, what feature allows you to visually interpret data profile results?

Job Logs

Summary Metrics

Data Visualization

Standard Metrics

4. Which SAS procedure is used to apply QKB transformations to clean and standardize data?

PROC SQL

PROC FORMAT

PROC DQSCHEME

PROC DATASETS

5. Which of the following is a technique used for real-time data processing in big data systems?

Stream processing

Batch processing

Data warehousing

Data mining

6. What is the role of a data custodian?

Ensuring the security and privacy of data.

Managing and overseeing data governance processes.

Designing and implementing data models and structures.

Extracting, transforming, and loading data into a data warehouse.

7. You are required to combine data from two different tables in SAS Data Integration Studio, based on common fields.

Which node would you use to accomplish this task?

Filter node

Join node

Extract node

Sort node

8. Which component of SAS Event Stream Processing Studio is used to define the logic for handling streaming data?

Project window

Event stream definition

Data service definition

Computation window

9. Which node allows users to extract data from source tables in SAS Data Integration Studio?

Filter node

Load node

Extract node

Sort node

10. You are tasked with registering a new table in SAS Data Integration Studio and need to write a simple program to load data into this table. The following code snippet is provided.

What is the missing line to complete the process of loading data from the source_data to the target_table?

proc sql;

create table target_table as

select * from source_data;

________;

quit;

load data;

select into;

run;

disconnect from source;

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11. You have a dataset with missing values and want to ensure data quality before proceeding with analysis.

Which steps should you take to clean and handle missing values in SAS Data Integration Studio?

Use the Sort node to arrange the data and manually remove rows with missing values.

Use the Data Validation node to identify and handle missing values by setting appropriate rules.

Use the Filter node to exclude rows with missing values based on specific criteria.

Use the Data Profiling node to explore the extent of missing values and create transformations to address them.

12. You are asked to configure DataFlux Data Management Studio to perform data parsing on a customer dataset.

Which steps would you take in the interface?

Open the Parsing Node, select the input data, choose the Parsing definition, and run the job.

Open the Standardization Node, define custom parsing rules, and execute the job.

Select the Data Enrichment Node, configure the data sources, and apply enrichment settings.

Open the Profiling Node, configure a parsing scheme, and run the job.

13. In DataFlux Data Management Studio, which node is used to standardize data into a consistent format?

Standardization Node

Parsing Node

Data Profile Node

Match Code Node

14. The _______ feature of SAS Federation Server allows you to combine data from multiple sources into a single virtual view without physically moving the data.

Virtualization

Federation Cache

Data Blending

Data Synchronization

15. Which of the following is a technique used for distributed data storage in big data systems?

HDFS (Hadoop Distributed File System)

RAID (Redundant Array of Independent Disks)

FTP (File Transfer Protocol)

JSON (JavaScript Object Notation)

16. Which of the following is an example of an adapter used in SAS Event Stream Processing (ESP)?

HTTP adapter

HiveQL adapter

CSV adapter

JavaScript adapter

17. Which of the following transformations in SAS Data Integration Studio is used to filter data?

Sort transformation

Filter transformation

Join transformation

Summarize transformation

18. You need to process a large dataset stored in HDFS using Pig Latin.

What steps would you take to define, load, and process the data?

Write a Pig script, use the LOAD command to load data from HDFS, apply transformations, and store the results back in HDF

Use HiveQL to load the data from HDFS and apply SQL-like queries to process it.

Use SAS Data Integration Studio to create a Pig script and run it through the Pig interface.

Define a PROC HADOOP script, load data, and apply transformations using MapReduce.

19. What is the main function of SAS Data Integration Studio?

Create business reports

Transform and load data

Visualize data trends

Execute real-time queries

20. What does a SAS Data Integration Studio process flow represent?

A sequence of tasks performed in a job.

A visual representation of data sources.

A database schema diagram.

A physical representation of data transformations.

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21. You use the PROC DQSRVSVC in a SAS program to pass data to a service that was written in DataFlux Data Management Studio.

Where does the service execute and process the data?

DataFlux Data Management Studio

DataFlux Data Management Server

SAS Application Server

SAS Middle Tier Server

22. What type of processing is enabled by SAS Event Stream Processing?

Batch processing of large datasets

Real-time analysis of streaming data

Data archiving and storage

Scheduled job execution

23. What is the purpose of data archiving?

To store historical data for long-term retention.

To secure and protect data assets from unauthorized access.

To analyze and interpret data to generate insights.

To design and implement data models and structures.

24. What is data integration?

The process of combining data from different sources into a unified view.

The practice of securing and protecting data assets.

The analysis of data to identify business opportunities.

The implementation of data backup and recovery procedures.

25. In SAS Data Quality Server, which SAS code would you use to apply a QKB standardization definition to a dataset?

proc dqscheme data=input_data out=output_data;

dqscheme standardize name;

run;

apply_rule('name_standard');

apply(‘dq_standardize_name’);

dqstandard(name);

dqscheme(‘name_standard’);

26. Which component allows users to combine data from multiple tables in SAS Data Integration Studio?

Data Loader

Join Designer

Data Profiler

Table Viewer

27. Which feature of Pig Latin allows for easy parallelization of tasks?

UDFs (User Defined Functions)

Tuple Data Model

MapReduce Framework

HiveQL

28. What is data virtualization?

The process of integrating and combining data from multiple sources.

The practice of securing data access and usage permissions.

The analysis of historical data trends and patterns.

The implementation of data backup and recovery procedures.

29. Which HiveQL statement is used to retrieve data from a Hive table?

SELECT

QUERY

FETCH

GET

30. What is the purpose of data deduplication in big data processing?

To eliminate duplicate copies of data and reduce storage requirements.

To aggregate data from multiple sources into a single dataset.

To transform the data into a structured format for analysis.

To encrypt sensitive data to ensure privacy.

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31. What is the role of a data architect?

Designing and implementing data models and structures.

Extracting, transforming, and loading data into a data warehouse.

Analyzing and interpreting data to generate insights.

Managing and overseeing data governance processes.

32. Which of the following nodes is used to merge two or more data sets based on common variables?

Extract node

Transform node

Load node

Join node

33. Which SAS tool is used to manage business terms and definitions in the context of data governance?

SAS Business Data Network

SAS Data Loader

SAS Visual Analytics

SAS Lineage

34. In the Hadoop ecosystem, the _______ component provides a query engine and warehouse infrastructure that supports SQL-like queries.

Pig

Hive

HDFS

YARN

35. What does the MapReduce framework in Hadoop help achieve?

Efficient storage of large datasets in HDFS

Distributed processing of large datasets by breaking the tasks into smaller chunks

Creation of machine learning models

Data visualization and reporting

36. The __________ file contains metadata about QKB components that allow them to be applied in data quality transformations.

XML

JSON

CSV

YAML

37. Which of the following is a machine learning technique used for big data analytics?

Random Forest

Linear Regression

Chi-Square Test

T-Test

38. You are writing a DS2 program to read data from a Hive table.

Which code block correctly defines a DS2 thread for reading Hive data?

thread read_hive_data / overwrite=yes;

method run();

set hive.my_table;

**INSERT YOUR CODE HERE**

end;

endthread;

set hive.table_data;

run();

set my_data;

set hive_data;

39. What is the purpose of a precode transformation in SAS Data Integration Studio?

To execute user-defined SAS code before a job runs.

To execute user-defined SAS code after a job runs.

To create a subset of data within a job.

To transform data using a user-defined formula.

40. What is data governance framework?

A set of policies, procedures, and guidelines for managing data assets.

The process of extracting, transforming, and loading data into a data warehouse.

The practice of analyzing and interpreting data to generate insights.

The implementation of data access controls and permissions.

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41. What is the purpose of data transformation in big data analytics?

To convert the data into a format suitable for analysis.

To remove outliers from the data.

To encrypt sensitive data.

To store the data in a distributed file system.

42. Which statement about writing explicit SQL pass-through code is true?

You can use any SAS programming method, naming DBMS tables as input.

All the code you write will execute in the DBMS instead of in SA

Automatically generated DBMS SQL might unintentionally cause all processing to happen in SAS instead of the DBM

You must be able to write native DBMS SQL code.

43. What is data masking?

The process of encrypting data to protect sensitive information.

The practice of backing up data for disaster recovery purposes.

The transformation of data to ensure compliance with regulations.

The technique of anonymizing or obfuscating data for privacy protection.

A00-223 Data Curation for SAS Data Scientists Exam Free Dumps

A00-223 Data Curation for SAS Data Scientists Exam Free Dumps

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