{"id":15059,"date":"2026-09-17T08:58:47","date_gmt":"2026-09-17T08:58:47","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=15059"},"modified":"2026-09-17T08:58:47","modified_gmt":"2026-09-17T08:58:47","slug":"cisco-ccna-automation-200-901-practice-test-questions-and-exam-dumps-part13-q241-q260","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/cisco-ccna-automation-200-901-practice-test-questions-and-exam-dumps-part13-q241-q260\/","title":{"rendered":"Cisco CCNA Automation 200-901 Practice Test Questions and Exam Dumps Part13 Q241-Q260"},"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 241<\/b><\/h3>\n

Which Python data type is used to represent a true or false value?<\/b><\/p>\n

    \n
  1. String<\/span><\/li>\n
  2. Boolean<\/span><\/li>\n
  3. Integer<\/span><\/li>\n
  4. Tuple<\/span><\/li>\n<\/ol>\n

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

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

    The Python Boolean data type represents logical values using <\/span>True<\/span> and <\/span>False<\/span>. Boolean values are frequently used in automation scripts to make decisions based on device states, API responses, configuration conditions, or validation results. For example, a script might store whether a device is reachable as a Boolean value and then execute different actions depending on the result. Strings represent text, integers represent whole numbers, and tuples contain ordered collections of values. Therefore, Boolean is the correct data type for representing true or false conditions.<\/span><\/p>\n

    Question 242<\/b><\/h3>\n

    Which Python function converts a string containing a whole number into an integer?<\/b><\/p>\n

      \n
    1. float()<\/span><\/li>\n
    2. str()<\/span><\/li>\n
    3. int()<\/span><\/li>\n
    4. bool()<\/span><\/li>\n<\/ol>\n

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

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

      The Python <\/span>int()<\/span> function converts a compatible value, such as a string containing a whole number, into an integer. For example, <\/span>int(“100”)<\/span> produces the integer value <\/span>100<\/span>. This can be useful in network automation when values received from files, environment variables, or APIs are represented as strings but need to be used in numerical operations. <\/span>float()<\/span> converts values to floating-point numbers, <\/span>str()<\/span> converts values to strings, and <\/span>bool()<\/span> converts values to Boolean representations. Therefore, <\/span>int()<\/span> is the correct function.<\/span><\/p>\n

      Question 243<\/b><\/h3>\n

      Which Python function converts a value into a string representation?<\/b><\/p>\n

        \n
      1. str()<\/span><\/li>\n
      2. list()<\/span><\/li>\n
      3. dict()<\/span><\/li>\n
      4. tuple()<\/span><\/li>\n<\/ol>\n

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

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

        The Python <\/span>str()<\/span> function converts a value into its string representation. This is useful in automation when numerical values or other objects need to be included in text, log messages, API payloads, filenames, or generated configuration. For example, a numeric VLAN ID can be converted to a string before being combined with other text. The <\/span>list()<\/span>, <\/span>dict()<\/span>, and <\/span>tuple()<\/span> functions are used for creating or converting values into different collection types. Therefore, <\/span>str()<\/span> is the correct function for converting a value to a string.<\/span><\/p>\n

        Question 244<\/b><\/h3>\n

        Which Python keyword is used to define a function?<\/b><\/p>\n

          \n
        1. function<\/span><\/li>\n
        2. define<\/span><\/li>\n
        3. def<\/span><\/li>\n
        4. func<\/span><\/li>\n<\/ol>\n

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

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

          The Python <\/span>def<\/span> keyword is used to define a function. A function can contain reusable automation logic and can accept parameters and return values. For example, a network automation developer might create a function that validates an IP address or processes an API response. Using functions helps reduce duplicated code and makes automation programs easier to organize and maintain. Python does not use <\/span>function<\/span>, <\/span>define<\/span>, or <\/span>func<\/span> as the standard keyword for defining functions. Therefore, <\/span>def<\/span> is the correct answer.<\/span><\/p>\n

          Question 245<\/b><\/h3>\n

          Which Python keyword is commonly used to send a value back from a function to the calling code?<\/b><\/p>\n

            \n
          1. output<\/span><\/li>\n
          2. return<\/span><\/li>\n
          3. send<\/span><\/li>\n
          4. result<\/span><\/li>\n<\/ol>\n

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

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

            The Python <\/span>return<\/span> keyword sends a value from a function back to the code that called the function. This allows automation functions to process information and provide a result that can be stored in a variable or used by another operation. For example, a function that validates a device address could return <\/span>True<\/span> or <\/span>False<\/span>. The keywords <\/span>output<\/span>, <\/span>send<\/span>, and <\/span>result<\/span> do not perform this standard Python function behavior. Therefore, <\/span>return<\/span> is the correct keyword for returning a value from a function.<\/span><\/p>\n

            Question 246<\/b><\/h3>\n

            Which Python object is immutable and commonly used to store an ordered collection of values?<\/b><\/p>\n

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

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

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

              A Python tuple is an ordered collection that is immutable after creation. This means its elements cannot normally be added, removed, or changed. Tuples can be useful when automation code needs to keep a fixed collection of related values. Lists are also ordered but are mutable, while sets are designed primarily for unique elements and dictionaries store key-value pairs. Immutability can be useful when data should remain unchanged during processing. Therefore, Tuple is the correct answer for an immutable ordered collection.<\/span><\/p>\n

              Question 247<\/b><\/h3>\n

              Which Python collection stores unique values and supports set operations such as union and intersection?<\/b><\/p>\n

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

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

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

                A Python set stores unique elements and supports mathematical set operations such as union, intersection, and difference. In network automation, sets can be useful for comparing groups of IP addresses, interfaces, device names, or other identifiers while eliminating duplicates. Lists and tuples can contain duplicate values, while strings represent sequences of characters. Set operations can help determine which devices exist in one collection but not another, for example. Therefore, Set is the correct collection for unique values and set operations.<\/span><\/p>\n

                Question 248<\/b><\/h3>\n

                Which Python dictionary method returns all key-value pairs as view objects?<\/b><\/p>\n

                  \n
                1. keys()<\/span><\/li>\n
                2. values()<\/span><\/li>\n
                3. items()<\/span><\/li>\n
                4. pairs()<\/span><\/li>\n<\/ol>\n

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

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

                  The Python dictionary <\/span>items()<\/span> method returns a view containing the dictionary’s key-value pairs. This is especially useful when automation scripts need to iterate through both keys and values. For example, a script can use <\/span>for key, value in device.items()<\/span> to process structured device information. The <\/span>keys()<\/span> method returns the dictionary keys, while <\/span>values()<\/span> returns its values. <\/span>pairs()<\/span> is not the standard Python dictionary method. Therefore, <\/span>items()<\/span> is the correct answer for accessing key-value pairs.<\/span><\/p>\n

                  Question 249<\/b><\/h3>\n

                  Which Python dictionary method returns all keys in a dictionary?<\/b><\/p>\n

                    \n
                  1. items()<\/span><\/li>\n
                  2. values()<\/span><\/li>\n
                  3. keys()<\/span><\/li>\n
                  4. allkeys()<\/span><\/li>\n<\/ol>\n

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

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

                    The <\/span>keys()<\/span> method returns a view containing the keys of a Python dictionary. This can be useful when an automation script needs to inspect available fields in structured data or iterate over dictionary keys. For example, an API response converted into a Python dictionary may contain keys such as <\/span>hostname<\/span>, <\/span>status<\/span>, and <\/span>platform<\/span>. The <\/span>values()<\/span> method returns values, while <\/span>items()<\/span> returns key-value pairs. <\/span>allkeys()<\/span> is not a standard Python dictionary method. Therefore, <\/span>keys()<\/span> is the correct answer.<\/span><\/p>\n

                    Question 250<\/b><\/h3>\n

                    Which Python dictionary method returns the values stored in a dictionary?<\/b><\/p>\n

                      \n
                    1. items()<\/span><\/li>\n
                    2. values()<\/span><\/li>\n
                    3. keys()<\/span><\/li>\n
                    4. data()<\/span><\/li>\n<\/ol>\n

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

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

                      The Python dictionary <\/span>values()<\/span> method returns a view containing the values stored in the dictionary. This can be useful when automation code needs to process values without directly needing their associated keys. For example, a script could iterate through all device statuses stored in a dictionary. The <\/span>keys()<\/span> method returns keys, and <\/span>items()<\/span> returns both keys and values. <\/span>data()<\/span> is not the standard dictionary method for retrieving all values. Therefore, <\/span>values()<\/span> is the correct answer.<\/span><\/p>\n

                      Question 251<\/b><\/h3>\n

                      Which Python statement can be used when a program needs to handle multiple alternative conditions?<\/b><\/p>\n

                        \n
                      1. if\/elif\/else<\/span><\/li>\n
                      2. try\/import\/return<\/span><\/li>\n
                      3. for\/except\/with<\/span><\/li>\n
                      4. def\/class\/from<\/span><\/li>\n<\/ol>\n

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

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

                        The Python <\/span>if\/elif\/else<\/span> structure allows a program to evaluate multiple alternative conditions. The <\/span>if<\/span> condition is evaluated first, and additional <\/span>elif<\/span> conditions can be evaluated when earlier conditions are false. The <\/span>else<\/span> block can provide a final alternative when none of the conditions are true. This is useful in network automation when different actions are required depending on device state, API response, platform, or configuration. The other combinations do not represent Python’s standard conditional structure. Therefore, <\/span>if\/elif\/else<\/span> is correct.<\/span><\/p>\n

                        Question 252<\/b><\/h3>\n

                        Which Python keyword is used when a statement is syntactically required but no operation needs to be performed?<\/b><\/p>\n

                          \n
                        1. skip<\/span><\/li>\n
                        2. pass<\/span><\/li>\n
                        3. continue<\/span><\/li>\n
                        4. null<\/span><\/li>\n<\/ol>\n

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

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

                          The Python <\/span>pass<\/span> statement is a placeholder that performs no operation. It can be used when Python syntax requires a statement but the developer does not yet need to implement any behavior. For example, a class, function, or conditional block can temporarily contain <\/span>pass<\/span> while development continues. The <\/span>continue<\/span> statement has a different purpose because it moves to the next iteration of a loop. <\/span>skip<\/span> and <\/span>null<\/span> are not Python keywords used for this purpose. Therefore, <\/span>pass<\/span> is the correct answer.<\/span><\/p>\n

                          Question 253<\/b><\/h3>\n

                          Which Python statement is used to load functionality from another module?<\/b><\/p>\n

                            \n
                          1. import<\/span><\/li>\n
                          2. loadmodule<\/span><\/li>\n
                          3. include<\/span><\/li>\n
                          4. package<\/span><\/li>\n<\/ol>\n

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

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

                            The Python <\/span>import<\/span> statement is used to load a module so that its functionality can be accessed by the program. Automation scripts commonly import modules such as <\/span>json<\/span>, <\/span>os<\/span>, <\/span>re<\/span>, and third-party libraries such as Requests. Importing promotes code reuse because developers can use existing functionality rather than rewriting it. Python also supports forms such as <\/span>from module import function<\/span> for importing specific objects. The other listed terms are not the standard Python statement for loading a module. Therefore, <\/span>import<\/span> is the correct answer.<\/span><\/p>\n

                            Question 254<\/b><\/h3>\n

                            Which command is commonly used to install the Requests Python package using pip?<\/b><\/p>\n

                              \n
                            1. pip install requests<\/span><\/li>\n
                            2. pip create requests<\/span><\/li>\n
                            3. python add requests<\/span><\/li>\n
                            4. package requests install<\/span><\/li>\n<\/ol>\n

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

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

                              The command <\/span>pip install requests<\/span> is commonly used to install the Requests Python package. Requests provides a convenient interface for making HTTP requests and is frequently used in automation scripts that interact with REST APIs. Using pip allows Python developers to install packages and their dependencies from package repositories. The other commands are not standard pip syntax for installing the Requests package. Therefore, <\/span>pip install requests<\/span> is the correct command.<\/span><\/p>\n

                              Question 255<\/b><\/h3>\n

                              Which Python library is commonly used to parse and generate YAML data?<\/b><\/p>\n

                                \n
                              1. PyYAML<\/span><\/li>\n
                              2. PyJSON<\/span><\/li>\n
                              3. YAMLParserX<\/span><\/li>\n
                              4. ConfigXML<\/span><\/li>\n<\/ol>\n

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

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

                                PyYAML is a commonly used Python library for parsing and generating YAML data. YAML is frequently encountered in automation environments, particularly with tools such as Ansible. A Python program can use PyYAML to load YAML configuration into Python data structures and can also serialize data into YAML format. JSON has its own standard Python module, while XML can be handled with libraries such as ElementTree. Therefore, PyYAML is the appropriate library for working with YAML in Python.<\/span><\/p>\n

                                Question 256<\/b><\/h3>\n

                                Which Python standard-library module provides functions for interacting with the operating system environment?<\/b><\/p>\n

                                  \n
                                1. os<\/span><\/li>\n
                                2. net<\/span><\/li>\n
                                3. systemlib<\/span><\/li>\n
                                4. kernel<\/span><\/li>\n<\/ol>\n

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

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

                                  The Python <\/span>os<\/span> module provides functions for interacting with the operating system. Automation scripts can use it for tasks such as accessing environment variables, working with filesystem paths, and interacting with operating-system functionality. For example, environment variables containing API credentials can be accessed through the <\/span>os<\/span> module. The other options are not standard Python modules that provide the described general operating-system interface. Therefore, <\/span>os<\/span> is the correct answer.<\/span><\/p>\n

                                  Question 257<\/b><\/h3>\n

                                  Which HTTP request component is normally used to provide query-string filtering or other parameters after a URL?<\/b><\/p>\n

                                    \n
                                  1. Query parameters<\/span><\/li>\n
                                  2. MAC addresses<\/span><\/li>\n
                                  3. DNS labels<\/span><\/li>\n
                                  4. Ethernet fields<\/span><\/li>\n<\/ol>\n

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

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

                                    Query parameters are commonly used in HTTP requests to provide additional information to an API, such as filtering, sorting, pagination, or selecting specific fields. They are typically represented after a question mark in a URL, although exact API conventions vary. For example, an API might support parameters that limit results or filter objects by status. MAC addresses and Ethernet fields belong to networking layers and are not HTTP query parameters. DNS labels are used in domain names. Therefore, query parameters are the correct answer.<\/span><\/p>\n

                                    Question 258<\/b><\/h3>\n

                                    Which REST API practice can reduce the amount of unnecessary data returned to an automation application?<\/b><\/p>\n

                                      \n
                                    1. Field selection<\/span><\/li>\n
                                    2. Increasing packet size indefinitely<\/span><\/li>\n
                                    3. Disabling authentication<\/span><\/li>\n
                                    4. Removing all query parameters<\/span><\/li>\n<\/ol>\n

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

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

                                      Field selection allows an API client to request only the fields needed from a resource when the API supports that capability. This can reduce response size, processing requirements, and unnecessary data transfer. For example, an automation application may need only a device hostname and status instead of the complete object representation. The exact syntax for field selection differs between APIs. Increasing packet size, disabling authentication, or removing query parameters does not provide this specific benefit. Therefore, field selection is the correct practice.<\/span><\/p>\n

                                      Question 259<\/b><\/h3>\n

                                      What is the purpose of an API endpoint?<\/b><\/p>\n

                                        \n
                                      1. It identifies a specific location where an API operation can be requested<\/span><\/li>\n
                                      2. It physically connects two switches<\/span><\/li>\n
                                      3. It encrypts a hard drive<\/span><\/li>\n
                                      4. It assigns MAC addresses<\/span><\/li>\n<\/ol>\n

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

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

                                        An API endpoint identifies a specific location or URL through which an application can interact with an API resource or operation. Different endpoints may represent devices, users, configurations, interfaces, tasks, or other resources. Automation applications send HTTP requests to appropriate endpoints using supported methods and parameters. The endpoint itself does not physically connect network devices, encrypt hard drives, or assign MAC addresses. Understanding endpoints is essential when developing API-based automation because the client must address the correct resource. Therefore, identifying the location for an API operation is the correct answer.<\/span><\/p>\n

                                        Question 260<\/b><\/h3>\n

                                        Which API response format is especially convenient for Python because JSON objects can be mapped naturally to dictionaries?<\/b><\/p>\n

                                          \n
                                        1. JSON<\/span><\/li>\n
                                        2. JPEG<\/span><\/li>\n
                                        3. MP3<\/span><\/li>\n
                                        4. GIF<\/span><\/li>\n<\/ol>\n

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

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

                                          JSON is especially convenient for Python automation because JSON objects can naturally be represented as Python dictionaries, while JSON arrays can be represented as Python lists. This makes it straightforward to access fields from REST API responses and process structured information programmatically. For example, a JSON response containing device details can be parsed and accessed using dictionary keys. JPEG, MP3, and GIF are media formats and are not standard structured data formats for REST API responses. Therefore, JSON is the correct answer.<\/span><\/p>\n

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                                          View Full Cisco CCNA Automation 200-901 Exam Dumps and Practice Test Dumps.   Question 241 Which Python data type is used to represent a true or false value? String Boolean Integer Tuple Correct Answer: 2 Explanation The Python Boolean data type represents logical values using True and False. Boolean values are frequently used in automation […]<\/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\/15059"}],"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=15059"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15059\/revisions"}],"predecessor-version":[{"id":15075,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/15059\/revisions\/15075"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=15059"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=15059"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=15059"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}