{"id":15065,"date":"2026-09-17T08:57:35","date_gmt":"2026-09-17T08:57:35","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15065"},"modified":"2026-09-17T08:57:35","modified_gmt":"2026-09-17T08:57:35","slug":"cisco-ccna-automation-200-901-practice-test-questions-and-exam-dumps-part19-q361-q380","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/cisco-ccna-automation-200-901-practice-test-questions-and-exam-dumps-part19-q361-q380\/","title":{"rendered":"Cisco CCNA Automation 200-901 Practice Test Questions and Exam Dumps Part19 Q361-Q380"},"content":{"rendered":"

<\/h1>\n

View Full <\/b>Cisco CCNA Automation 200-901 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 361<\/b><\/h3>\n

Which automation approach triggers a workflow in response to an event rather than waiting for a scheduled execution?<\/b><\/p>\n

    \n
  1. Manual automation<\/span><\/li>\n
  2. Event-driven automation<\/span><\/li>\n
  3. Batch-only automation<\/span><\/li>\n
  4. Static configuration<\/span><\/li>\n<\/ol>\n

    Correct Answer: 2<\/b><\/p>\n

    Explanation<\/b><\/h3>\n

    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.<\/span><\/p>\n

    Question 362<\/b><\/h3>\n

    Which mechanism can be used by an application to publish and distribute messages asynchronously to multiple consumers?<\/b><\/p>\n

      \n
    1. Message queue or broker<\/span><\/li>\n
    2. VLAN trunk<\/span><\/li>\n
    3. DNS record<\/span><\/li>\n
    4. ARP cache<\/span><\/li>\n<\/ol>\n

      Correct Answer: 1<\/b><\/p>\n

      Explanation<\/b><\/h3>\n

      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.<\/span><\/p>\n

      Question 363<\/b><\/h3>\n

      What is a major benefit of asynchronous communication in automation systems?<\/b><\/p>\n

        \n
      1. Components can operate without requiring an immediate response from each other<\/span><\/li>\n
      2. It eliminates all network failures<\/span><\/li>\n
      3. It disables API authentication<\/span><\/li>\n
      4. It guarantees zero processing delay<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1<\/b><\/p>\n

        Explanation<\/b><\/h3>\n

        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.<\/span><\/p>\n

        Question 364<\/b><\/h3>\n

        Which Python construct is useful for iterating over each item in a collection?<\/b><\/p>\n

          \n
        1. switch<\/span><\/li>\n
        2. repeat<\/span><\/li>\n
        3. for<\/span><\/li>\n
        4. iterate_all<\/span><\/li>\n<\/ol>\n

          Correct Answer: 3<\/b><\/p>\n

          Explanation<\/b><\/h3>\n

          The Python <\/span>for<\/span> 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 <\/span>switch<\/span>, <\/span>repeat<\/span>, or <\/span>iterate_all<\/span> as the standard keyword for this purpose. Therefore, <\/span>for<\/span> is the correct answer.<\/span><\/p>\n

          Question 365<\/b><\/h3>\n

          Which Python keyword immediately exits the current loop?<\/b><\/p>\n

            \n
          1. stop<\/span><\/li>\n
          2. exitloop<\/span><\/li>\n
          3. break<\/span><\/li>\n
          4. terminate<\/span><\/li>\n<\/ol>\n

            Correct Answer: 3<\/b><\/p>\n

            Explanation<\/b><\/h3>\n

            The Python <\/span>break<\/span> 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 <\/span>continue<\/span> statement has a different purpose because it skips the remainder of the current iteration and proceeds to the next iteration. <\/span>stop<\/span>, <\/span>exitloop<\/span>, and <\/span>terminate<\/span> are not standard Python loop-control keywords. Therefore, <\/span>break<\/span> is correct.<\/span><\/p>\n

            Question 366<\/b><\/h3>\n

            Which Python keyword skips the remainder of the current loop iteration and starts the next iteration?<\/b><\/p>\n

              \n
            1. break<\/span><\/li>\n
            2. continue<\/span><\/li>\n
            3. skiploop<\/span><\/li>\n
            4. nextloop<\/span><\/li>\n<\/ol>\n

              Correct Answer: 2<\/b><\/p>\n

              Explanation<\/b><\/h3>\n

              The Python <\/span>continue<\/span> 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 <\/span>continue<\/span> when a device does not meet a required condition. <\/span>break<\/span> would terminate the entire loop instead. <\/span>skiploop<\/span> and <\/span>nextloop<\/span> are not standard Python keywords. Therefore, <\/span>continue<\/span> is the correct answer.<\/span><\/p>\n

              Question 367<\/b><\/h3>\n

              Which Python exception-handling block is executed when an exception occurs in the associated try block?<\/b><\/p>\n

                \n
              1. else<\/span><\/li>\n
              2. finally<\/span><\/li>\n
              3. except<\/span><\/li>\n
              4. catch<\/span><\/li>\n<\/ol>\n

                Correct Answer: 3<\/b><\/p>\n

                Explanation<\/b><\/h3>\n

                The <\/span>except<\/span> block handles exceptions raised while executing the associated <\/span>try<\/span> 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 <\/span>finally<\/span> block is used for cleanup that should normally occur regardless of whether an exception happened, while <\/span>else<\/span> runs when the try block completes without an exception. Python uses <\/span>except<\/span> rather than <\/span>catch<\/span>. Therefore, except is correct.<\/span><\/p>\n

                Question 368<\/b><\/h3>\n

                What is the purpose of the <\/b>finally<\/b> block in Python exception handling?<\/b><\/p>\n

                  \n
                1. It normally executes whether or not an exception occurs<\/span><\/li>\n
                2. It creates a new function<\/span><\/li>\n
                3. It skips all remaining loops<\/span><\/li>\n
                4. It imports a module<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 1<\/b><\/p>\n

                  Explanation<\/b><\/h3>\n

                  The Python <\/span>finally<\/span> 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 <\/span>try<\/span> block contains code that may raise an exception, while <\/span>except<\/span> can handle specific exceptions. An <\/span>else<\/span> block can run when no exception occurs. <\/span>finally<\/span> does not create functions, skip loops, or import modules. Therefore, executing cleanup or finalization regardless of the exception result is its primary purpose.<\/span><\/p>\n

                  Question 369<\/b><\/h3>\n

                  Which Python data structure stores information as key-value pairs?<\/b><\/p>\n

                    \n
                  1. Set<\/span><\/li>\n
                  2. Tuple<\/span><\/li>\n
                  3. Dictionary<\/span><\/li>\n
                  4. String<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 3<\/b><\/p>\n

                    Explanation<\/b><\/h3>\n

                    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 <\/span>hostname<\/span>, <\/span>ip_address<\/span>, and <\/span>status<\/span>. 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.<\/span><\/p>\n

                    Question 370<\/b><\/h3>\n

                    Which Python collection is mutable and maintains an ordered sequence of elements?<\/b><\/p>\n

                      \n
                    1. List<\/span><\/li>\n
                    2. Tuple<\/span><\/li>\n
                    3. Set<\/span><\/li>\n
                    4. Frozen set<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1<\/b><\/p>\n

                      Explanation<\/b><\/h3>\n

                      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.<\/span><\/p>\n

                      Question 371<\/b><\/h3>\n

                      Which Python list method adds one element to the end of a list?<\/b><\/p>\n

                        \n
                      1. insert_end()<\/span><\/li>\n
                      2. append()<\/span><\/li>\n
                      3. add()<\/span><\/li>\n
                      4. push()<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2<\/b><\/p>\n

                        Explanation<\/b><\/h3>\n

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

                        Question 372<\/b><\/h3>\n

                        Which Python operator is used to test whether two values are equal?<\/b><\/p>\n

                          \n
                        1. =<\/span><\/li>\n
                        2. !=<\/span><\/li>\n
                        3. ==<\/span><\/li>\n
                        4. =><\/span><\/li>\n<\/ol>\n

                          Correct Answer: 3<\/b><\/p>\n

                          Explanation<\/b><\/h3>\n

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

                          Question 373<\/b><\/h3>\n

                          Which Python operator is used to assign a value to a variable?<\/b><\/p>\n

                            \n
                          1. ==<\/span><\/li>\n
                          2. =<\/span><\/li>\n
                          3. ===<\/span><\/li>\n
                          4. :=:<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 2<\/b><\/p>\n

                            Explanation<\/b><\/h3>\n

                            The single equals sign <\/span>=<\/span> 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 <\/span>device_name = “router1”<\/span> to store a device name. The <\/span>==<\/span> operator is used to compare two values rather than assign one. Python does not use <\/span>===<\/span> as its standard equality operator, and <\/span>:=:<\/span> is not valid Python syntax. Therefore, <\/span>=<\/span> is the correct assignment operator.<\/span><\/p>\n

                            Question 374<\/b><\/h3>\n

                            Which Python built-in function returns the number of elements in a collection?<\/b><\/p>\n

                              \n
                            1. countall()<\/span><\/li>\n
                            2. size()<\/span><\/li>\n
                            3. length()<\/span><\/li>\n
                            4. len()<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 4<\/b><\/p>\n

                              Explanation<\/b><\/h3>\n

                              The Python <\/span>len()<\/span> 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, <\/span>len(devices)<\/span> returns the number of elements in the <\/span>devices<\/span> collection. Although some libraries provide their own size-related functions, <\/span>len()<\/span> is the standard Python built-in function for this purpose. Therefore, <\/span>len()<\/span> is correct.<\/span><\/p>\n

                              Question 375<\/b><\/h3>\n

                              Which Python construct allows a short expression to be used for creating a new list from an existing iterable?<\/b><\/p>\n

                                \n
                              1. List comprehension<\/span><\/li>\n
                              2. Dictionary parser<\/span><\/li>\n
                              3. Tuple builder<\/span><\/li>\n
                              4. Set declaration<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 1<\/b><\/p>\n

                                Explanation<\/b><\/h3>\n

                                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.<\/span><\/p>\n

                                Question 376<\/b><\/h3>\n

                                Which Python keyword is used to handle code that may raise an exception?<\/b><\/p>\n

                                  \n
                                1. try<\/span><\/li>\n
                                2. attempt<\/span><\/li>\n
                                3. handle<\/span><\/li>\n
                                4. safe<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 1<\/b><\/p>\n

                                  Explanation<\/b><\/h3>\n

                                  The Python <\/span>try<\/span> keyword begins a block of code where exceptions may occur and can be handled using corresponding <\/span>except<\/span> 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. <\/span>attempt<\/span>, <\/span>handle<\/span>, and <\/span>safe<\/span> are not Python keywords used to begin exception-handling blocks. Therefore, <\/span>try<\/span> is the correct answer.<\/span><\/p>\n

                                  Question 377<\/b><\/h3>\n

                                  Which Python statement explicitly raises an exception?<\/b><\/p>\n

                                    \n
                                  1. throw<\/span><\/li>\n
                                  2. raise<\/span><\/li>\n
                                  3. error<\/span><\/li>\n
                                  4. exception<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 2<\/b><\/p>\n

                                    Explanation<\/b><\/h3>\n

                                    The Python <\/span>raise<\/span> 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 <\/span>try<\/span> and <\/span>except<\/span> structure. <\/span>throw<\/span> is used in some other programming languages but is not Python’s standard keyword. Therefore, <\/span>raise<\/span> is correct.<\/span><\/p>\n

                                    Question 378<\/b><\/h3>\n

                                    Which Python package manager is commonly used to install and manage third-party Python packages?<\/b><\/p>\n

                                      \n
                                    1. Git<\/span><\/li>\n
                                    2. pip<\/span><\/li>\n
                                    3. curl<\/span><\/li>\n
                                    4. make<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 2<\/b><\/p>\n

                                      Explanation<\/b><\/h3>\n

                                      pip<\/span> 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.<\/span><\/p>\n

                                      Question 379<\/b><\/h3>\n

                                      Which file is commonly used to list Python project dependencies for installation with pip?<\/b><\/p>\n

                                        \n
                                      1. packages.yaml<\/span><\/li>\n
                                      2. python.modules<\/span><\/li>\n
                                      3. requirements.txt<\/span><\/li>\n
                                      4. dependencies.exe<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 3<\/b><\/p>\n

                                        Explanation<\/b><\/h3>\n

                                        A <\/span>requirements.txt<\/span> 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, <\/span>requirements.txt<\/span> is correct.<\/span><\/p>\n

                                        Question 380<\/b><\/h3>\n

                                        What is the primary purpose of a Python virtual environment?<\/b><\/p>\n

                                          \n
                                        1. To isolate project dependencies from the system Python environment<\/span><\/li>\n
                                        2. To create a physical network VLAN<\/span><\/li>\n
                                        3. To encrypt all Python source code<\/span><\/li>\n
                                        4. To replace Git repositories<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 1<\/b><\/p>\n

                                          Explanation<\/b><\/h3>\n

                                          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.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          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? Manual automation Event-driven automation Batch-only automation Static configuration Correct Answer: 2 Explanation Event-driven automation starts an automated workflow when a defined event […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1648,1647],"tags":[],"_links":{"self":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15065"}],"collection":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/comments?post=15065"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15065\/revisions"}],"predecessor-version":[{"id":15069,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15065\/revisions\/15069"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15065"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15065"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}