View Full Cisco CCNA Automation 200-901 Exam Dumps and Practice Test Dumps.

 

Question 361

Which automation approach triggers a workflow in response to an event rather than waiting for a scheduled execution?

1. Manual automation
2. Event-driven automation
3. Batch-only automation
4. Static configuration

Correct Answer: 2

Explanation

Event-driven automation starts an automated workflow when a defined event occurs. For example, an automation system could respond to a device alert, configuration change, API event, or webhook by executing a predefined workflow. This differs from scheduled automation, which runs at predetermined times, and manual automation, which requires a person to initiate the process. Event-driven systems can provide faster responses to changing network conditions because they do not necessarily need to wait for the next scheduled polling cycle. Therefore, event-driven automation is correct.

Question 362

Which mechanism can be used by an application to publish and distribute messages asynchronously to multiple consumers?

1. Message queue or broker
2. VLAN trunk
3. DNS record
4. ARP cache

Correct Answer: 1

Explanation

A message queue or message broker allows applications and automation components to exchange messages asynchronously. Producers can publish messages while consumers process them independently, which can help decouple different parts of an automation system. This architecture can improve scalability and resilience when many events need to be processed. Technologies such as message brokers are useful in event-driven automation, where one system generates events and another performs actions. VLAN trunks, DNS records, and ARP caches serve networking purposes and do not provide this messaging architecture.

Question 363

What is a major benefit of asynchronous communication in automation systems?

1. Components can operate without requiring an immediate response from each other
2. It eliminates all network failures
3. It disables API authentication
4. It guarantees zero processing delay

Correct Answer: 1

Explanation

Asynchronous communication allows one component to send information without requiring the receiving component to respond immediately. This can make automation architectures more scalable because producers and consumers can operate somewhat independently. For example, an event producer can place messages into a queue while workers process them as resources become available. Asynchronous communication does not eliminate network failures or authentication requirements, and it cannot guarantee zero processing delay. Its primary advantage is decoupling components and reducing the need for immediate synchronous responses. Therefore, option 1 is correct.

Question 364

Which Python construct is useful for iterating over each item in a collection?

1. switch
2. repeat
3. for
4. iterate_all

Correct Answer: 3

Explanation

The Python for loop is used to iterate over items in an iterable such as a list, tuple, dictionary, string, or other collection. Network automation scripts commonly use loops to process multiple devices, interfaces, IP addresses, or API results. For example, a script can iterate over a list of device names and perform an operation for each device. Python does not use switch, repeat, or iterate_all as the standard keyword for this purpose. Therefore, for is the correct answer.

Question 365

Which Python keyword immediately exits the current loop?

1. stop
2. exitloop
3. break
4. terminate

Correct Answer: 3

Explanation

The Python break statement immediately terminates the current loop and continues execution with the statement following the loop. This can be useful in automation when a desired device, API result, or condition has been found and there is no need to continue processing additional items. The continue statement has a different purpose because it skips the remainder of the current iteration and proceeds to the next iteration. stop, exitloop, and terminate are not standard Python loop-control keywords. Therefore, break is correct.

Question 366

Which Python keyword skips the remainder of the current loop iteration and starts the next iteration?

1. break
2. continue
3. skiploop
4. nextloop

Correct Answer: 2

Explanation

The Python continue statement skips the remaining statements in the current loop iteration and proceeds to the next iteration. In automation, this can be useful when a particular device or data item should be ignored while processing continues for the remaining items. For example, a script could use continue when a device does not meet a required condition. break would terminate the entire loop instead. skiploop and nextloop are not standard Python keywords. Therefore, continue is the correct answer.

Question 367

Which Python exception-handling block is executed when an exception occurs in the associated try block?

1. else
2. finally
3. except
4. catch

Correct Answer: 3

Explanation

The except block handles exceptions raised while executing the associated try block. This is important in automation because API requests, file operations, device connections, and data processing can fail for various reasons. An exception handler allows the application to respond appropriately instead of terminating unexpectedly. The finally block is used for cleanup that should normally occur regardless of whether an exception happened, while else runs when the try block completes without an exception. Python uses except rather than catch. Therefore, except is correct.

Question 368

What is the purpose of the finally block in Python exception handling?

1. It normally executes whether or not an exception occurs
2. It creates a new function
3. It skips all remaining loops
4. It imports a module

Correct Answer: 1

Explanation

The Python finally block is used for code that should normally execute whether an exception occurs or not. This makes it useful for cleanup operations such as closing files, releasing resources, or performing other required finalization. The try block contains code that may raise an exception, while except can handle specific exceptions. An else block can run when no exception occurs. finally does not create functions, skip loops, or import modules. Therefore, executing cleanup or finalization regardless of the exception result is its primary purpose.

Question 369

Which Python data structure stores information as key-value pairs?

1. Set
2. Tuple
3. Dictionary
4. String

Correct Answer: 3

Explanation

A Python dictionary stores information as key-value pairs. This structure is particularly useful in network automation because API responses represented as JSON objects commonly become Python dictionaries after parsing. For example, a device dictionary might contain keys such as hostname, ip_address, and status. Each key can be used to access its associated value. Sets store unique values, tuples store ordered immutable collections, and strings store text. Therefore, Dictionary is the correct data structure for key-value information.

Question 370

Which Python collection is mutable and maintains an ordered sequence of elements?

1. List
2. Tuple
3. Set
4. Frozen set

Correct Answer: 1

Explanation

A Python list is a mutable, ordered collection. Elements can be added, removed, or changed after the list is created. Lists are commonly used in automation to store groups of devices, IP addresses, interfaces, API results, or configuration objects. Tuples are ordered but immutable, while sets are designed for unique elements and do not provide the same ordered-list semantics. A frozen set is immutable. Therefore, a list is the correct collection for a mutable ordered sequence.

Question 371

Which Python list method adds one element to the end of a list?

1. insert_end()
2. append()
3. add()
4. push()

Correct Answer: 2

Explanation

The Python append() method adds a single element to the end of an existing list. For example, an automation script can use devices.append(“router1”) to add a device name to a list. The insert() method can place an item at a specified position, while extend() can add multiple elements from another iterable. add() is commonly associated with sets, while push() is not the standard Python list method. Therefore, append() is the correct answer.

Question 372

Which Python operator is used to test whether two values are equal?

1. =
2. !=
3. ==
4. =>

Correct Answer: 3

Explanation

The Python == operator tests whether two values are equal. It produces a Boolean result of True or False. This operator is frequently used in automation conditions, such as checking whether a device status equals an expected value. The single equals sign = is used for assignment, while != tests whether two values are not equal. => is not the standard Python equality operator. Therefore, == is the correct operator for testing equality.

Question 373

Which Python operator is used to assign a value to a variable?

1. ==
2. =
3. ===
4. :=:

Correct Answer: 2

Explanation

The single equals sign = is Python’s standard assignment operator. It assigns the value on the right side to the variable on the left side. For example, an automation script might use device_name = “router1” to store a device name. The == operator is used to compare two values rather than assign one. Python does not use === as its standard equality operator, and :=: is not valid Python syntax. Therefore, = is the correct assignment operator.

Question 374

Which Python built-in function returns the number of elements in a collection?

1. countall()
2. size()
3. length()
4. len()

Correct Answer: 4

Explanation

The Python len() function returns the number of items in many collections, including lists, tuples, dictionaries, and strings. This is useful in automation when scripts need to determine how many devices, interfaces, or API results are currently being processed. For example, len(devices) returns the number of elements in the devices collection. Although some libraries provide their own size-related functions, len() is the standard Python built-in function for this purpose. Therefore, len() is correct.

Question 375

Which Python construct allows a short expression to be used for creating a new list from an existing iterable?

1. List comprehension
2. Dictionary parser
3. Tuple builder
4. Set declaration

Correct Answer: 1

Explanation

A list comprehension provides a concise way to create a new list from an iterable, optionally applying a condition or transformation to each element. For example, an automation script can create a list of hostnames from a collection of device dictionaries. List comprehensions can make simple transformations more readable and compact. They should still be used carefully when the logic becomes complex because traditional loops may be easier to understand. The other options do not describe Python’s standard list-comprehension syntax. Therefore, list comprehension is correct.

Question 376

Which Python keyword is used to handle code that may raise an exception?

1. try
2. attempt
3. handle
4. safe

Correct Answer: 1

Explanation

The Python try keyword begins a block of code where exceptions may occur and can be handled using corresponding except blocks. In network automation, try/except structures can be useful around operations such as API requests, file access, authentication, or device communication. Proper exception handling allows a program to handle expected failures gracefully and provide useful diagnostic information. attempt, handle, and safe are not Python keywords used to begin exception-handling blocks. Therefore, try is the correct answer.

Question 377

Which Python statement explicitly raises an exception?

1. throw
2. raise
3. error
4. exception

Correct Answer: 2

Explanation

The Python raise statement explicitly raises an exception. Automation developers can use it when a condition indicates that continuing execution would be inappropriate. For example, a script might validate API data and raise an exception when a required field is missing or an invalid configuration is detected. The raised exception can then be handled by an appropriate try and except structure. throw is used in some other programming languages but is not Python’s standard keyword. Therefore, raise is correct.

Question 378

Which Python package manager is commonly used to install and manage third-party Python packages?

1. Git
2. pip
3. curl
4. make

Correct Answer: 2

Explanation

pip is the standard package-management tool commonly used to install Python packages from package repositories. Automation developers can use pip to install libraries such as Requests and other dependencies needed by their applications. A requirements file can also specify project dependencies so environments can be reproduced more consistently. Git manages source-code repositories, curl transfers data using URLs, and make is a build automation tool. Therefore, pip is the correct package manager for commonly installing Python packages.

Question 379

Which file is commonly used to list Python project dependencies for installation with pip?

1. packages.yaml
2. python.modules
3. requirements.txt
4. dependencies.exe

Correct Answer: 3

Explanation

A requirements.txt file commonly lists Python packages and, when needed, their versions or version constraints. Developers can use pip with this file to install the project’s dependencies into an environment. This helps make automation applications more reproducible because another developer or CI system can install the same required packages. The exact dependency-management approach can vary between projects, but requirements.txt remains a widely used convention. The other listed filenames are not the standard convention for pip dependency lists. Therefore, requirements.txt is correct.

Question 380

What is the primary purpose of a Python virtual environment?

1. To isolate project dependencies from the system Python environment
2. To create a physical network VLAN
3. To encrypt all Python source code
4. To replace Git repositories

Correct Answer: 1

Explanation

A Python virtual environment provides an isolated environment for a project’s Python interpreter and installed packages. This helps prevent dependency conflicts between different automation projects that require different package versions. For example, one network automation project may require one version of a library while another project requires a different version. Virtual environments allow these dependencies to coexist more safely on the same system. They do not create VLANs, encrypt source code, or replace Git repositories. Therefore, isolating project dependencies is the correct purpose.