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| Certification Vendor: | Juniper Networks |
|---|---|
| Exam Name: | Juniper Automation and DevOps, Associate (JNCIA-DevOps) |
| Exam Number: | JN0-224 |
| Related Certifications: | JNCIS-DevOps JNCIA-Junos |
| Exam Duration: | 90 minutes |
| Exam Format: | Multiple-choice questions |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Real Exam Qty: | 65 |
| Recommended Training: | Juniper Learning - Automation and DevOps Courses Juniper Networks Training Catalog |
| Exam Registration: | Juniper Training and Exams Registration Juniper Certification Portal |
| Sample Questions: | Juniper JN0-224 Sample Questions |
| Exam Way: | Online proctored or authorized testing center |
| Pre Condition: | No formal prerequisites are required; foundational networking and basic Python knowledge are recommended. |
| Official Syllabus URL: | https://www.juniper.net/us/en/training/certification/ |
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NEW QUESTION # 17
Which two statements are true about an XML schema document? (Choose two.)
Answer: C,D
Explanation:
An XML schema document (XSD) is a key component in defining the structure and constraints of XML data used in various applications, including Junos:
Authoritative Source (C): An XML schema document serves as the authoritative definition of the structure, content, and semantics of XML documents. It ensures that the XML data adheres to specific rules and formats, which is essential for both operational and configuration XML.
XSD Format (D): XML schema documents are typically written in the XSD (XML Schema Definition) format, which provides a formal description of the XML document's structure.
Option A is incorrect because XML schemas are not formatted as XLT files (which are related to XSLT transformations), and Option B is incorrect because XML schemas can indeed be examined in the Junos CLI using appropriate commands.
Reference:
W3C XML Schema Definition Language (XSD) Documentation: Provides comprehensive information on the XSD format.
Juniper Networks Documentation: Discusses the role of XML schemas in managing Junos configurations.
NEW QUESTION # 18
What is the difference between a list and a tuple in Python?
Answer: A
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 # 19
Which two statements are correct about a Python dictionary data type? (Choose two.)
Answer: A,C
Explanation:
A Python dictionary is a data type that stores data in the form of key/value pairs. It has the following characteristics:
Key/Value Pair (C): Each entry in a dictionary is a pair consisting of a unique key and a value. The key is used to access the corresponding value.
Not Sequenced or Indexed (D): Unlike lists or tuples, dictionaries do not maintain order for their entries (in versions prior to Python 3.7). Even though Python 3.7+ maintains insertion order, dictionaries are not considered indexed or sequenced in the traditional sense like lists, where elements are accessed via positional index.
Option A is incorrect because dictionary entries can be added, modified, or removed after the dictionary is created. Option B is incorrect because dictionaries are not accessed by a numeric index but rather by their keys.
Reference:
Python Official Documentation: Details the nature of dictionaries, including their mutability and key/value structure.
Python Data Structures Guide: Explains dictionary operations and characteristics.
NEW QUESTION # 20
Which statement is valid regarding YAML and JSON?
Answer: D
Explanation:
Both YAML and JSON are case-sensitive, meaning that the distinction between uppercase and lowercase characters matters. For example, in JSON or YAML, Key and key would be considered different.
Option D (case-sensitive) is correct because both YAML and JSON treat keys and values with different cases as distinct.
Option A is incorrect because, while JSON does not use indentation, YAML does rely on indentation to define structure. Option B is incorrect because whitespace can be significant in YAML for structure, and Option C is incorrect because JSON does not support comments, while YAML does.
Supporting Reference:
YAML and JSON Documentation: The official specifications for both YAML and JSON emphasize their case sensitivity.
NEW QUESTION # 21
What is the default port for NETCONF connections over SSH?
Answer: A
Explanation:
https://www.juniper.net/documentation/us/en/software/junos/netconf/topics/topic-map/netconf-ssh-connection.html The IANA-assigned port for NETCONF-over-SSH sessions is 830.
NEW QUESTION # 22
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