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| Exam: | C_DS_42 | ||
| Exam Name: | SAP Certified Application Associate - Data Integration with SAP Data Services 4.2 | ||
| Related Certification(s): | Data Integration with SAP Data Services | ||
| Questions: | 0 Questions Answers | ||
| Last Updated: | Apr 16,2024 | ||
| Product Updates: | 90 Days Free Updates | ||
Price: |
Was: $79 Today: $49 | ||
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FAQs related to SAP C_DS_42 exam:
| Question | Answer |
|---|---|
| What is the purpose of the SAP C_DS_42 exam? | The SAP C_DS_42 exam is a certification exam that validates your skills and knowledge in SAP Data Services 4.2. |
| Who should take the SAP C_DS_42 exam? | Individuals who want to demonstrate their expertise in SAP Data Services 4.2, such as data engineers, data architects, and data analysts, should take the SAP C_DS_42 exam. |
| What are the prerequisites for taking the SAP C_DS_42 exam? | Before taking the SAP C_DS_42 exam, you should have a solid understanding of the following topics: |
| What is the format of the SAP C_DS_42 exam? | The SAP C_DS_42 exam consists of 80 multiple-choice questions. You have 180 minutes to complete the exam. |
| What is the passing score for the SAP C_DS_42 exam? | The passing score for the SAP C_DS_42 exam is 72%. |
| How can I prepare for the SAP C_DS_42 exam? | To prepare for the SAP C_DS_42 exam, you can do the following: |
| Where can I find more information about the SAP C_DS_42 exam? | You can find more information about the SAP C_DS_42 exam on the SAP website. |
Print Table with Heading:
CREATE TABLE [dbo].[Table1] (
[ID] INT NOT NULL IDENTITY(1, 1),
[Name] VARCHAR(50) NOT NULL,
[Age] INT NOT NULL,
[City] VARCHAR(50) NOT NULL,
CONSTRAINT [PK_Table1] PRIMARY KEY ([ID])
);INSERT INTO [dbo].[Table1] ([Name], [Age], [City]) VALUES
('John Doe', 30, 'New York'),
('Jane Smith', 25, 'Los Angeles'),
('Michael Jones', 40, 'Chicago'),
('Mary Johnson', 35, 'Dallas'),
('Robert Brown', 28, 'Houston');import pandas as pd
# Connect to the SQL Server database.
connection = pyodbc.connect('Driver={SQL Server};Server=localhost;Database=AdventureWorks2019;Trusted_Connection=yes')
# Read the data from the table.
data = pd.read_sql_query('SELECT * FROM Table1', connection)
# Print the table with heading.
print('Table1:')
print(data)Output:
Table1:
ID Name Age City
0 1 John Doe 30 New York
1 2 Jane Smith 25 Los Angeles
2 3 Michael Jones 40 Chicago
3 4 Mary Johnson 35 Dallas
4 5 Robert Brown 28 Houston