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Juniper JN0-224 Exam Syllabus Topics:

SectionWeightObjectives
Data Serialization15%- JSON structure and usage
- Data modeling and representation
- YAML structure and usage
NETCONF and XML API20%- NETCONF protocol operations and capabilities
- XML concepts, syntax and XPath
- XML API usage and interaction
Junos Automation Stack and DevOps Concepts20%- Configuration management and version control
- Automation frameworks and tools
- Junos automation architecture
- DevOps principles and culture
Python and PyEZ30%- PyEZ library installation and usage
- Jinja2 templates and JSNAPy
- Python programming basics
- RPC execution and configuration management
- Error handling and automation scripts
Junos REST API15%- REST API fundamentals
- REST API Explorer tool
- cURL and HTTP methods

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Juniper Automation and DevOps, Associate (JNCIA-DevOps) Sample Questions (Q47-Q52):

NEW QUESTION # 47
Exhibit.

Referring to the exhibit, which statement about REST is correct?

Answer: D


NEW QUESTION # 48
What is an example of correct XML syntax?

Answer: A


NEW QUESTION # 49
What is the difference between a list and a tuple in Python?

Answer: B

Explanation:
In Python, the distinction between lists and tuples is essential for efficient programming:
Lists:
Mutable (B): This means that once a list is created, its elements can be changed, added, or removed. Lists are versatile and commonly used when the data is expected to change.
Square Brackets: Lists are defined using square brackets [].
Example:
my_list = [1, 2, 3]
my_list[0] = 10 # Modifying the first element
Tuples:
Immutable (B): Once a tuple is created, it cannot be altered. Tuples are used when a fixed collection of items is needed, providing more integrity to the data.
Parentheses: Tuples are defined using parentheses ().
Example:
my_tuple = (1, 2, 3)
# my_tuple[0] = 10 # This would raise an error because tuples are immutable Reference:
Python Official Documentation: The Python Language Reference provides detailed information on data types like lists and tuples, including their mutability and syntax.
Automation Scripts: In the context of automation, understanding when to use mutable or immutable data structures can significantly impact script performance and reliability.


NEW QUESTION # 50
Which two statements are correct about a Python list data type? (Choose two.)

Answer: A,D

Explanation:
Python lists have the following characteristics:
Modifiable Data (A): Lists are mutable, meaning you can change, add, or remove elements after the list has been created.
Sequenced and Indexed (B): Lists maintain the order of their elements and are indexed starting from 0. This means you can access elements by their position in the list.
Option C is incorrect because lists are mutable, allowing modifications. Option D is incorrect because lists are indeed sequenced and indexed, unlike dictionaries.
Reference:
Python Official Documentation: Covers the properties of lists, including mutability and indexing.
Python Data Structures Guide: Explains list operations and how to manipulate them.


NEW QUESTION # 51
You are using the curl tool to include multiple RPCs in a REST API request.
Which HTTP method must be used for this request?

Answer: B


NEW QUESTION # 52
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