Practice Free JN0-224 Exam Online Questions
Question #11
Which two statements are correct about a Python list data type? (Choose two.)
- A . The data contained in a list data type can be modified.
- B . The data contained in a list data type is sequenced and indexed starting from 0.
- C . The data contained in a list data type cannot be modified.
- D . The data contained in a list data type is not sequenced or indexed.
Correct Answer: A, B
A, B
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.
A, B
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.
Question #12
What is the difference between a list and a tuple in Python?
- A . Lists are immutable objects that use square brackets, and tuples are mutable objects that use parentheses.
- B . Lists are mutable objects that use square brackets, and tuples are immutable objects that use parentheses.
- C . Lists are immutable objects that use parentheses, and tuples are immutable objects that use square brackets.
- D . Lists are mutable objects that use parentheses, and tuples are immutable objects that use square brackets.
Correct Answer: B
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.
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.
Question #13
Which two statements about NETCONF are true? (Choose two.)
- A . It uses the operations layer to lock the configuration of a Junos device.
- B . It uses the messages layer to commit the configuration of a Junos device.
- C . It uses the messages layer to lock the configuration of a Junos device.
- D . It uses the operations layer to commit the configuration of a Junos device.
Correct Answer: A, D
A, D
Explanation:
NETCONF (Network Configuration Protocol) operates through different layers, with the operations layer being particularly important for managing configurations:
Operations Layer (A & D): This layer is responsible for actions like locking and committing the configuration on a Junos device. The lock operation prevents other sessions from modifying the configuration, and the commit operation applies the configuration changes to the device.
Options B and C are incorrect because the messages layer handles the communication aspects, such as exchanging data between the client and server, not performing configuration operations like locking and committing.
Reference: IETF RFC 6241 (NETCONF): Describes the protocol layers and their functions, with a focus on the operations layer.
Juniper Networks NETCONF Documentation: Provides insights into how NETCONF operations are managed in Junos
A, D
Explanation:
NETCONF (Network Configuration Protocol) operates through different layers, with the operations layer being particularly important for managing configurations:
Operations Layer (A & D): This layer is responsible for actions like locking and committing the configuration on a Junos device. The lock operation prevents other sessions from modifying the configuration, and the commit operation applies the configuration changes to the device.
Options B and C are incorrect because the messages layer handles the communication aspects, such as exchanging data between the client and server, not performing configuration operations like locking and committing.
Reference: IETF RFC 6241 (NETCONF): Describes the protocol layers and their functions, with a focus on the operations layer.
Juniper Networks NETCONF Documentation: Provides insights into how NETCONF operations are managed in Junos
Question #14
Which two programming languages have a NETCONF library supported by Juniper Networks? (Choose two.)
- A . Ruby
- B . Python
- C . Go
- D . SLAX
Correct Answer: B, C
B, C
Explanation:
Juniper Networks supports NETCONF libraries for several programming languages, including:
Python (B): Python has a well-supported NETCONF library called ncclient, which is widely used for automating network configurations across Junos devices.
Go (C): Go also has a NETCONF library (go-netconf), which provides similar functionalities for managing Junos devices.
Ruby (A) and SLAX (D) do not have widely recognized or supported NETCONF libraries directly from Juniper Networks, making Python and Go the correct choices.
Reference: Juniper Networks NETCONF Documentation: Lists supported programming languages and libraries for interacting with NETCONF on Junos devices.
ncclient Documentation: The primary Python library for working with NETCONF.
B, C
Explanation:
Juniper Networks supports NETCONF libraries for several programming languages, including:
Python (B): Python has a well-supported NETCONF library called ncclient, which is widely used for automating network configurations across Junos devices.
Go (C): Go also has a NETCONF library (go-netconf), which provides similar functionalities for managing Junos devices.
Ruby (A) and SLAX (D) do not have widely recognized or supported NETCONF libraries directly from Juniper Networks, making Python and Go the correct choices.
Reference: Juniper Networks NETCONF Documentation: Lists supported programming languages and libraries for interacting with NETCONF on Junos devices.
ncclient Documentation: The primary Python library for working with NETCONF.
Question #15
Which type of on-box automation script is designed to run every time a user executes a configuration change?
- A . event
- B . SNMP
- C . commit
- D . operation
Correct Answer: C
C
Explanation:
In Junos OS, a commit script is an on-box automation script that runs every time a configuration change is committed. Commit scripts are used to enforce configuration policies, validate configuration changes, or make automatic adjustments to configurations when certain conditions are met.
Commit Script (C): Executes automatically during the commit process, ensuring that the new configuration adheres to specific rules or conventions before it is applied to the system.
Event, SNMP, and operation scripts are used for other purposes in Junos automation but do not run automatically with every configuration change.
Reference: Junos OS Automation Scripts Guide: Provides details on different types of scripts, including commit scripts, and their use cases.
Juniper Networks Documentation: Offers examples and best practices for creating and using commit scripts.
C
Explanation:
In Junos OS, a commit script is an on-box automation script that runs every time a configuration change is committed. Commit scripts are used to enforce configuration policies, validate configuration changes, or make automatic adjustments to configurations when certain conditions are met.
Commit Script (C): Executes automatically during the commit process, ensuring that the new configuration adheres to specific rules or conventions before it is applied to the system.
Event, SNMP, and operation scripts are used for other purposes in Junos automation but do not run automatically with every configuration change.
Reference: Junos OS Automation Scripts Guide: Provides details on different types of scripts, including commit scripts, and their use cases.
Juniper Networks Documentation: Offers examples and best practices for creating and using commit scripts.
Question #16
Which two statements are correct about a Python dictionary data type? (Choose two.)
- A . The data contained in a dictionary data type cannot be removed once the dictionary has been created.
- B . The data stored in a dictionary data type is sequenced and indexed.
- C . The data contained in a dictionary data type is a key/value pair.
- D . The data stored in a dictionary data type is not sequenced or indexed.
Correct Answer: C, D
C, D
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.
C, D
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.
Question #17
Which process is responsible for XML automation requests?
- A . jsrpd
- B . mgd
- C . rpd
- D . jsd
Correct Answer: B
B
Explanation:
The mgd (Management Daemon) process in Junos is responsible for handling XML automation requests. This daemon manages the configuration and operational commands received via NETCONF, which uses XML for data exchange. The mgd process parses the XML data and applies the necessary configuration or retrieves the requested information.
Option B is correct because mgd is the process that handles XML-based requests in Junos.
Options A (jsrpd), C (rpd), and D (jsd) are incorrect because they are responsible for different functions, such as routing protocols and services, not XML automation.
Supporting
Reference: Juniper Networks Management Daemon (mgd) Documentation: Provides an overview of the responsibilities of the mgd process, including handling XML requests.
B
Explanation:
The mgd (Management Daemon) process in Junos is responsible for handling XML automation requests. This daemon manages the configuration and operational commands received via NETCONF, which uses XML for data exchange. The mgd process parses the XML data and applies the necessary configuration or retrieves the requested information.
Option B is correct because mgd is the process that handles XML-based requests in Junos.
Options A (jsrpd), C (rpd), and D (jsd) are incorrect because they are responsible for different functions, such as routing protocols and services, not XML automation.
Supporting
Reference: Juniper Networks Management Daemon (mgd) Documentation: Provides an overview of the responsibilities of the mgd process, including handling XML requests.
Question #18
You must use Junos PyEZ to configure unique IP addresses on individual machines.
Which two features will permit this requirement? (Choose). Ian SCP module
- A . an SCP module
- B . a BSON data file
- C . a YAML data file
- D . a Jinja2 template
Correct Answer: C, D
C, D
Explanation:
To configure unique IP addresses on individual machines using Junos PyEZ, you can use the following features:
YAML Data File (C): YAML files are used to store configuration data in a human-readable format. They are often used in combination with Jinja2 templates to provide the data necessary for template rendering.
Jinja2 Template (D): Jinja2 is a templating engine for Python that allows you to create dynamic templates. When used with Junos PyEZ, a Jinja2 template can be filled with data (such as IP addresses from a YAML file) to generate configuration snippets that are applied to different devices.
Options A (SCP module) and B (BSON data file) are not typically used with Junos PyEZ for this
purpose.
Reference: Junos PyEZ Documentation: Discusses the use of YAML files and Jinja2 templates for generating configurations.
Jinja2 Templating Documentation: Provides details on how to create and use templates in Python scripts.
C, D
Explanation:
To configure unique IP addresses on individual machines using Junos PyEZ, you can use the following features:
YAML Data File (C): YAML files are used to store configuration data in a human-readable format. They are often used in combination with Jinja2 templates to provide the data necessary for template rendering.
Jinja2 Template (D): Jinja2 is a templating engine for Python that allows you to create dynamic templates. When used with Junos PyEZ, a Jinja2 template can be filled with data (such as IP addresses from a YAML file) to generate configuration snippets that are applied to different devices.
Options A (SCP module) and B (BSON data file) are not typically used with Junos PyEZ for this
purpose.
Reference: Junos PyEZ Documentation: Discusses the use of YAML files and Jinja2 templates for generating configurations.
Jinja2 Templating Documentation: Provides details on how to create and use templates in Python scripts.
Question #19
Which feature is used in XML to ensure that all attributes and elements have unique names?
- A . selectors
- B . predicate
- C . namespace
- D . XPath
Correct Answer: D
Question #20
What are two Junos PyEZ configuration object methods? (Choose two.)
- A . commie ()
- B . device ()
- C . lockO
- D . config ()
Correct Answer: D, C
D, C
Explanation:
In Junos PyEZ, the Config object provides various methods for interacting with device configurations.
Two of the key methods are:
lock(): This method locks the candidate configuration database to prevent other users or processes from making changes while you are modifying the configuration.
config(): This method is used to create a Config object that represents the configuration database, allowing you to load, modify, and commit configuration changes.
Option C (lock) and Option D (config) are correct because they are valid methods provided by the PyEZ Config object.
Option A (commie) and Option B (device) are incorrect as they are not methods of the Config object.
Supporting
Reference: Junos PyEZ Documentation: Details the methods available in the Config object, including lock() and config().
D, C
Explanation:
In Junos PyEZ, the Config object provides various methods for interacting with device configurations.
Two of the key methods are:
lock(): This method locks the candidate configuration database to prevent other users or processes from making changes while you are modifying the configuration.
config(): This method is used to create a Config object that represents the configuration database, allowing you to load, modify, and commit configuration changes.
Option C (lock) and Option D (config) are correct because they are valid methods provided by the PyEZ Config object.
Option A (commie) and Option B (device) are incorrect as they are not methods of the Config object.
Supporting
Reference: Junos PyEZ Documentation: Details the methods available in the Config object, including lock() and config().
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