DA0-002인기자격증시험덤프자료시험최신덤프

다른 방식으로 같은 목적을 이룰 수 있다는 점 아세요? 여러분께서는 어떤 방식, 어느 길을 선택하시겠습니까? 많은 분들은CompTIA인증DA0-002시험패스로 자기 일에서 생활에서 한층 업그레이드 되기를 바랍니다. 하지만 모두 다 알고계시는그대로CompTIA인증DA0-002시험은 간단하게 패스할 수 있는 시험이 아닙니다. 많은 분들이CompTIA인증DA0-002시험을 위하여 많은 시간과 정신력을 투자하고 있습니다. 하지만 성공하는 분들은 적습니다.

CompTIA인증 DA0-002시험이 너무 어려워 보여서 오르지못할 산처럼 보이시나요? 그건ExamPassdump의 CompTIA인증 DA0-002시험문제에 대비하여 제작한CompTIA인증 DA0-002덤프가 있다는 것을 모르고 있기때문입니다. CompTIA인증 DA0-002시험에 도전하고 싶으시다면 최강 시험패스율로 유명한ExamPassdump의 CompTIA인증 DA0-002덤프로 시험공부를 해보세요.시간절약은 물론이고 가격도 착해서 간단한 시험패스에 딱 좋은 선택입니다.

>> DA0-002인기자격증 시험 덤프자료 <<

최신 CompTIA Data+ DA0-002 무료샘플문제 (Q65-Q70):

질문 # 65
A data analyst must combine service calls into low-, medium-, and high-priority levels in order to analyze organizational responses. Which of the following techniques should the analyst use for this task?

A. Binning
B. Scaling
C. Augmentation
D. Imputation

정답：A

설명：
This question pertains to theData Analysisdomain, focusing on techniques for categorizing data. The task involves grouping service calls into priority levels (low, medium, high), which requires segmenting numerical or ordinal data into discrete categories.
* Augmentation (Option A): Augmentation involves adding data (e.g., in machine learning), not categorizing existing data.
* Imputation (Option B): Imputation fills in missing values, not relevant for categorizing priority levels.
* Scaling (Option C): Scaling adjusts numerical data to a common range (e.g., normalization), not suitable for creating priority categories.
* Binning (Option D): Binning groups continuous or ordinal data into discrete categories (e.g., assigning calls to low, medium, or high priority based on a metric like response time), which fits the task.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," and binning is a standard technique for categorizing data for analysis.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

질문 # 66
A grocery store wants to view the revenue from the previous year, highlighting individual departments.
Which of the following is the most appropriate chart to communicate this information?

A. Area
B. Pie
C. Gantt
D. Line

정답：B

설명：
This question is part of theVisualization and Reportingdomain, focusing on selecting the appropriate visualization for a given dataset. The grocery store wants to view revenue by department, which requires a chart that shows proportions or comparisons across categories.
* Gantt (Option A): Gantt charts are used for project scheduling, not for comparing revenue across categories.
* Pie (Option B): Pie charts are ideal for showing proportions or percentages of a whole, such as revenue distribution across departments, making this the best choice.
* Area (Option C): Area charts are better for showing trends over time, not static categorical comparisons.
* Line (Option D): Line charts are used for trends over time, not for comparing discrete categories like departments.
The DA0-002 Visualization and Reporting domain emphasizes "translating business requirements to form the appropriate visualization" , and a pie chart is the most appropriate for showing departmental revenue proportions.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting

질문 # 67
An administrator needs to design a table that will include foreign words. Which of the following is the best option for storing non-native language characters?

A. CLOB
B. NVARCHAR
C. CHAR
D. VARCHAR

정답：B

설명：
This question falls under theData Concepts and Environmentsdomain, focusing on selecting appropriate data types for storing specific kinds of data. The task requires storing foreign words, which often include non- native characters (e.g., accents, Unicode characters).
* VARCHAR (Option A): VARCHAR stores variable-length strings but typically uses ASCII or single- byte encoding, which may not support all foreign characters.
* NVARCHAR (Option B): NVARCHAR (National VARCHAR) stores variable-length strings in Unicode, supporting a wide range of non-native characters, making it the best choice.
* CLOB (Option C): CLOB (Character Large Object) is for large text data, but it's overkill for most foreign words and not specifically designed for Unicode.
* CHAR (Option D): CHAR stores fixed-length strings, but like VARCHAR, it often uses single-byte encoding, which may not support foreign characters.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," such as selecting data types like NVARCHAR for Unicode support.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

질문 # 68
A data analyst wants to use the following tables to find all the customers who have not placed an order:
Customers table
ID
Name
Address
Products table
ID
Name
Customer_ID
Which of the following SQL statements is the best way to accomplish this task?

A. SELECT * FROM CUSTOMERS AS C LEFT JOIN PRODUCTS AS P ON C.ID = P.Customer_ID WHERE P.Customer_ID IS NULL
B. SELECT * FROM PRODUCTS AS P LEFT JOIN CUSTOMERS AS C ON P.Customer_ID = C.ID WHERE P.Customer_ID IS NOT NULL
C. SELECT * FROM CUSTOMERS AS C INNER JOIN PRODUCTS AS P ON C.ID = C.IDWHERE COUNT(P.) = 0
D. SELECT * FROM PRODUCTS AS P INNER JOIN CUSTOMERS AS C ON P.Customer_ID = C.ID WHERE (SELECT COUNT(P.) = 0)

정답：A

설명：
This question pertains to theData Analysisdomain, focusing on SQL queries to analyze data relationships.
The task is to find customers who have not placed an order, meaning customers in the Customers table without a matching Customer_ID in the Products table.
* Option A: SELECT * FROM CUSTOMERS AS C LEFT JOIN PRODUCTS AS P ON C.ID = P.
Customer_ID WHERE P.Customer_ID IS NULLA LEFT JOIN includes all customers, even those without orders (where Products columns are NULL). Filtering with WHERE P.Customer_ID IS NULL selects only customers without a match in Products, correctly identifying those who haven't ordered.
* Option B: SELECT * FROM CUSTOMERS AS C INNER JOIN PRODUCTS AS P ON C.ID = C.
ID WHERE COUNT(P.*) = 0An INNER JOIN only includes matching records, so it won't return customers without orders. The join condition C.ID = C.ID is also incorrect, and COUNT requires a GROUP BY, making this invalid.
* Option C: SELECT * FROM PRODUCTS AS P INNER JOIN CUSTOMERS AS C ON P.
Customer_ID = C.ID WHERE (SELECT COUNT(P.*) = 0)An INNER JOIN excludes customers without orders, and the subquery syntax is incorrect (COUNT needs a GROUP BY or to be part of a HAVING clause).
* Option D: SELECT * FROM PRODUCTS AS P LEFT JOIN CUSTOMERS AS C ON P.
Customer_ID = C.ID WHERE P.Customer_ID IS NOT NULLThis starts with Products and joins Customers, returning only records with orders (opposite of the task), and IS NOT NULL further excludes non-ordering customers.
The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods using SQL queries," and a LEFT JOIN with a NULL check is the standard method for finding non-matching records.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.

질문 # 69
Which of the following best explains the purpose of data lineage?

A. To better understand the granularity of data variable relationships
B. To see the steps and path of data flow through different systems
C. To track data transformations from acquisition through reporting
D. To look up data definitions, ensuring consistent use across business units

정답：C

설명：
This question pertains to theData Concepts and Environmentsdomain, focusing on the purpose of data lineage. Data lineage involves tracking the lifecycle of data.
* To see the steps and path of data flow through different systems (Option A): This describes a data flow diagram, not data lineage, which focuses on transformations rather than just flow.
* To better understand the granularity of data variable relationships (Option B): This relates to data modeling, not the purpose of data lineage.
* To track data transformations from acquisition through reporting (Option C): Data lineage tracks the journey of data, including transformations (e.g., cleaning, aggregation) from its source to its final use in reporting, which is its primary purpose.
* To look up data definitions, ensuring consistent use across business units (Option D): This describes a data dictionary, not data lineage.
The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and data lineage specifically tracks transformations across the data lifecycle.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.

질문 # 70
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DA0-002인기자격증시험덤프자료시험최신덤프

최신버전 DA0-002인기자격증 시험 덤프자료 완벽한 덤프샘플문제

최신 CompTIA Data+ DA0-002 무료샘플문제 (Q65-Q70):

높은 적중율을 자랑하는 DA0-002인기자격증 시험 덤프자료 덤프공부자료