{"id":20660,"date":"2026-09-24T06:41:33","date_gmt":"2026-09-24T06:41:33","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=20660"},"modified":"2026-09-24T06:41:33","modified_gmt":"2026-09-24T06:41:33","slug":"palo-alto-networks-xsiam-analyst-practice-test-questions-and-exam-dumps-part4-q61-80","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/palo-alto-networks-xsiam-analyst-practice-test-questions-and-exam-dumps-part4-q61-80\/","title":{"rendered":"Palo Alto Networks XSIAM-Analyst Practice Test Questions and Exam Dumps Part4 Q61-80"},"content":{"rendered":"

View Full <\/b>Palo Alto Networks XSIAM-Analyst Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/p>\n


\n<\/b>Q61. An analyst wants to identify the endpoints that generated the highest number of suspicious process events during the last day. Which XQL technique is MOST useful?<\/b><\/p>\n

    \n
  1. <\/b> Remove the endpoint field from the results<\/span><\/li>\n
  2. <\/b> Aggregate or group matching events by endpoint and count the records<\/span><\/li>\n
  3. <\/b> Search only one randomly selected event<\/span><\/li>\n
  4. <\/b> Disable the associated alerts before querying<\/span><\/li>\n<\/ol>\n

    Correct Answer: 2. Aggregate or group matching events by endpoint and count the records<\/b><\/p>\n

    Explanation:<\/b><\/p>\n

    Aggregation is useful when an analyst needs to summarize large volumes of telemetry and identify concentrations or outliers. Grouping suspicious process events by endpoint and counting the results can quickly reveal which systems generated the most activity. The analyst can then pivot into those endpoints for deeper analysis of processes, users, command lines, artifacts, and causality. This approach is much more efficient than reviewing every event individually. XQL is specifically intended to help XSIAM analysts query and analyze collected security data to extract meaningful insights during investigations and threat hunts.<\/span><\/p>\n

    Q62. Why is an endpoint\u2019s historical behavior useful when evaluating a new suspicious alert?<\/b><\/p>\n

      \n
    1. <\/b> Historical behavior proves the alert is benign<\/span><\/li>\n
    2. <\/b> Old telemetry should replace current evidence<\/span><\/li>\n
    3. <\/b> Every new behavior is automatically malicious<\/span><\/li>\n
    4. <\/b> It helps determine whether the activity is normal for that endpoint or represents a meaningful deviation**<\/span><\/li>\n<\/ol>\n

      Correct Answer: 4. It helps determine whether the activity is normal for that endpoint or represents a meaningful deviation<\/b><\/p>\n

      Explanation:<\/b><\/p>\n

      Historical context provides a baseline for interpreting new activity. A process, network destination, or administrative tool may be normal on one endpoint but unusual on another. By comparing current activity with prior behavior, analysts can better judge whether the alert reflects routine operations, a software change, or potential compromise. Historical context should not be used alone, because legitimate environments evolve and attackers may imitate normal activity. It should be combined with user context, process relationships, artifacts, causality, and other evidence to reach an informed conclusion.<\/span><\/p>\n

      Q63. An XSIAM incident contains a suspicious child process, but the parent process appears legitimate. What should the analyst do?<\/b><\/p>\n

        \n
      1. <\/b> Review the parent-child relationship, command line, execution context, and causality chain before deciding whether the activity is malicious<\/span><\/li>\n
      2. <\/b> Assume the chain is benign because the parent is legitimate<\/span><\/li>\n
      3. <\/b> Delete the child-process alert<\/span><\/li>\n
      4. <\/b> Close the incident immediately<\/span><\/li>\n<\/ol>\n

        Correct Answer: 1. Review the parent-child relationship, command line, execution context, and causality chain before deciding whether the activity is malicious<\/b><\/p>\n

        Explanation:<\/b><\/p>\n

        Attackers commonly abuse legitimate parent processes, applications, and system utilities. A trusted parent process can still launch a malicious script, injected process, or suspicious command. The analyst should therefore examine the entire execution relationship, including how the child started, the command line, user context, related file and network activity, and the wider causality chain. This relationship-based analysis is more reliable than judging either process only by name. Palo Alto Networks\u2019 recommended analyst training specifically emphasizes interpreting causality chains during incident investigation.<\/span><\/p>\n

        Q64. What is the BEST reason to narrow an XQL query by time during incident investigation?<\/b><\/p>\n

          \n
        1. <\/b> Time filters modify the original telemetry<\/span><\/li>\n
        2. <\/b> They permanently exclude older events from XSIAM<\/span><\/li>\n
        3. <\/b> They reduce unrelated data and focus analysis on the period relevant to the incident<\/span><\/li>\n
        4. <\/b> They automatically determine root cause<\/span><\/li>\n<\/ol>\n

          Correct Answer: 3. They reduce unrelated data and focus analysis on the period relevant to the incident<\/b><\/p>\n

          Explanation:<\/b><\/p>\n

          A specific time range can dramatically reduce noise when searching large security datasets. If an analyst knows approximately when suspicious activity occurred, focusing on that period makes related processes, authentications, and network connections easier to identify. The range can then be expanded backward or forward when evidence suggests earlier initial access or later follow-on activity. Time filtering does not modify or delete telemetry; it simply limits the query results. Effective XQL investigations typically begin with focused criteria and expand iteratively as new relationships are discovered.<\/span><\/p>\n

          Q65. An analyst identifies an unfamiliar executable on a critical server. Which combination of evidence would BEST support investigation?<\/b><\/p>\n

            \n
          1. <\/b> Only the file name<\/span><\/li>\n
          2. <\/b> Only the server hostname<\/span><\/li>\n
          3. <\/b> Only the alert severity<\/span><\/li>\n
          4. <\/b> File hash, signature, path, process ancestry, user context, and related network activity**<\/span><\/li>\n<\/ol>\n

            Correct Answer: 4. File hash, signature, path, process ancestry, user context, and related network activity<\/b><\/p>\n

            Explanation:<\/b><\/p>\n

            A file\u2019s name alone is rarely sufficient to determine whether it is malicious. Analysts should evaluate multiple forms of context, including the hash and reputation, digital signature, file location, parent and child processes, executing user, command-line parameters, and any associated network connections. On a critical server, asset importance further increases the need for careful analysis. Combining artifact evidence with process and causality context helps distinguish legitimate software from malicious or abused binaries. XSIAM Analyst objectives emphasize incident investigation, assets and artifacts, and causality analysis.<\/span><\/p>\n

            Q66. What is the main purpose of pivoting from a suspicious user account to the endpoints associated with that user?<\/b><\/p>\n

              \n
            1. <\/b> To automatically isolate every endpoint<\/span><\/li>\n
            2. <\/b> To determine whether the identity was used across additional systems and expand incident scope<\/span><\/li>\n
            3. <\/b> To prove that every endpoint is compromised<\/span><\/li>\n
            4. <\/b> To delete authentication telemetry<\/span><\/li>\n<\/ol>\n

              Correct Answer: 2. To determine whether the identity was used across additional systems and expand incident scope<\/b><\/p>\n

              Explanation:<\/b><\/p>\n

              A compromised identity can be used to access multiple endpoints, especially during lateral movement. Pivoting from the account to associated systems can reveal where the credentials were used and whether suspicious activity continued elsewhere. Analysts should then investigate each endpoint using process, causality, network, and artifact evidence. Authentication alone does not prove every system is compromised, so the pivot should guide deeper investigation rather than immediate containment. This iterative movement among users, assets, artifacts, and events is a core technique in effective XSIAM incident analysis.<\/span><\/p>\n

              Q67. Why is it useful to distinguish a vulnerability from an active exploit during an XSIAM investigation?<\/b><\/p>\n

                \n
              1. <\/b> A vulnerability indicates a weakness, while exploitation requires evidence that the weakness was actually used or attempted<\/span><\/li>\n
              2. <\/b> Every vulnerability means exploitation succeeded<\/span><\/li>\n
              3. <\/b> Exploitation can occur only on endpoints without vulnerabilities<\/span><\/li>\n
              4. <\/b> Vulnerability information is unrelated to incidents<\/span><\/li>\n<\/ol>\n

                Correct Answer: 1. A vulnerability indicates a weakness, while exploitation requires evidence that the weakness was actually used or attempted<\/b><\/p>\n

                Explanation:<\/b><\/p>\n

                Vulnerability assessment identifies security weaknesses that could potentially be exploited. During an incident, analysts need additional evidence\u2014such as exploit-related network traffic, suspicious process execution, file creation, or causality\u2014to determine whether an attacker actually attempted or succeeded in using the weakness. Treating every vulnerability as a confirmed compromise would create unnecessary incident response. Conversely, vulnerability context can increase the plausibility and urgency of an exploitation alert. Palo Alto Networks explicitly lists vulnerability assessment among the current XSIAM Analyst certification objectives.<\/span><\/p>\n

                Q68. An XSIAM analyst wants to find unusual command-line activity. What is a sensible threat-hunting approach?<\/b><\/p>\n

                  \n
                1. <\/b> Search only for processes with no command line<\/span><\/li>\n
                2. <\/b> Assume every long command line is malicious<\/span><\/li>\n
                3. <\/b> Query command-line telemetry for rare or suspicious patterns, then validate the surrounding execution context<\/span><\/li>\n
                4. <\/b> Delete common command-line events first<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 3. Query command-line telemetry for rare or suspicious patterns, then validate the surrounding execution context<\/b><\/p>\n

                  Explanation:<\/b><\/p>\n

                  Command-line analysis is useful because attackers frequently use scripting engines and trusted utilities with unusual parameters. A threat hunter can search for rare interpreters, encoded content, suspicious downloads, unusual administrative commands, or other behavioral indicators. However, unusual command lines are not automatically malicious. Results should be reviewed alongside parent processes, user identity, endpoint role, network activity, and causality. XQL provides the flexibility required to search and summarize this type of telemetry, while XSIAM incident context helps analysts validate whether the observed behavior is genuinely suspicious.<\/span><\/p>\n

                  Q69. What is the BEST reason to review the endpoint role during incident triage?<\/b><\/p>\n

                    \n
                  1. <\/b> Endpoint role determines whether alerts are automatically true positives<\/span><\/li>\n
                  2. <\/b> Endpoint roles replace severity<\/span><\/li>\n
                  3. <\/b> All servers should receive identical response priority<\/span><\/li>\n
                  4. <\/b> The business and technical function of the endpoint helps analysts understand potential incident impact**<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 4. The business and technical function of the endpoint helps analysts understand potential incident impact<\/b><\/p>\n

                    Explanation:<\/b><\/p>\n

                    An alert on a domain controller, identity server, production database, or executive workstation can have very different consequences from the same alert on a disposable lab endpoint. Endpoint role provides business and technical context that helps analysts prioritize response and determine which stakeholders may need to be involved. It does not prove maliciousness, and technical evidence still needs to be evaluated. Combining asset importance with alert severity, causality, user context, and threat confidence supports more effective risk-based triage in XSIAM.<\/span><\/p>\n

                    Q70. An automation playbook enriched an IP address but did not perform containment. What should the analyst do?<\/b><\/p>\n

                      \n
                    1. <\/b> Review the enrichment result and incident context to determine whether further investigation or response is warranted<\/span><\/li>\n
                    2. <\/b> Assume the playbook failed<\/span><\/li>\n
                    3. <\/b> Close the incident because enrichment completed<\/span><\/li>\n
                    4. <\/b> Block the IP without reviewing the result<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1. Review the enrichment result and incident context to determine whether further investigation or response is warranted<\/b><\/p>\n

                      Explanation:<\/b><\/p>\n

                      Playbooks can perform different kinds of tasks, and enrichment does not necessarily imply containment should follow. The automation may have gathered reputation, historical sightings, or contextual information specifically so the analyst can make a more informed decision. The analyst should review what was returned, confirm whether the IP is associated with affected assets or malicious behavior, and decide whether additional queries or response actions are justified. Palo Alto Networks includes both automation playbooks and analyst-driven incident response within the current XSIAM Analyst certification scope.<\/span><\/p>\n

                      Q71. What is the primary value of alert grouping in an XSIAM incident?<\/b><\/p>\n

                        \n
                      1. <\/b> It prevents analysts from opening individual alerts<\/span><\/li>\n
                      2. <\/b> It reduces fragmented investigation by associating security signals that may belong to the same attack story<\/span><\/li>\n
                      3. <\/b> It guarantees every grouped alert has the same root cause<\/span><\/li>\n
                      4. <\/b> It removes the need for evidence review<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2. It reduces fragmented investigation by associating security signals that may belong to the same attack story<\/b><\/p>\n

                        Explanation:<\/b><\/p>\n

                        SOC environments can generate many individual alerts from endpoint, identity, network, and other analytics. Grouping related alerts into an incident helps analysts investigate the broader sequence instead of repeatedly handling signals in isolation. The analyst can review shared assets, identities, artifacts, causality, and timing to determine whether the alerts truly represent one attack. Grouping does not guarantee every alert is malicious or has the same root cause, so individual evidence still requires review. The main benefit is improved context and reduced fragmentation during analysis.<\/span><\/p>\n

                        Q72. Why might an analyst use an XQL join-type or relationship-oriented query technique when data exists in multiple relevant sources?<\/b><\/p>\n

                          \n
                        1. <\/b> To permanently merge all data sources<\/span><\/li>\n
                        2. <\/b> To disable duplicate records<\/span><\/li>\n
                        3. <\/b> To relate information from different datasets or entities when one source alone does not answer the investigation question<\/span><\/li>\n
                        4. <\/b> To automatically create prevention rules<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 3. To relate information from different datasets or entities when one source alone does not answer the investigation question<\/b><\/p>\n

                          Explanation:<\/b><\/p>\n

                          Security investigations often require information from several telemetry sources. One dataset might contain authentication activity, while another contains endpoint processes or network events. Relationship-oriented query techniques can help analysts connect those records using common values such as usernames, hosts, IP addresses, or timestamps. This provides context that no individual source can provide alone. Analysts should still verify that the relationship criteria are meaningful and avoid creating misleading associations. XQL is intended to support flexible analysis of the broad security data available in Cortex XSIAM.<\/span><\/p>\n

                          Q73. An analyst finds a suspicious URL artifact in one incident. What is the BEST next investigation step?<\/b><\/p>\n

                            \n
                          1. <\/b> Search for additional telemetry and incidents involving the same URL or related infrastructure<\/span><\/li>\n
                          2. <\/b> Delete the URL immediately<\/span><\/li>\n
                          3. <\/b> Assume every visit to the URL succeeded<\/span><\/li>\n
                          4. <\/b> Ignore the artifact unless it is a file hash<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 4. Search for additional telemetry and incidents involving the same URL or related infrastructure<\/b><\/p>\n

                            Explanation:<\/b><\/p>\n

                            A suspicious URL is a valuable pivot. Searching for other occurrences can reveal additional endpoints, users, browser activity, downloads, or related incidents. Analysts may also examine the domain, IP address, reputation, and any file or process activity that followed access to the URL. A URL sighting alone does not prove successful compromise because a request may have been blocked or may not have delivered malicious content. Artifact-based pivoting is most effective when it leads to broader contextual analysis rather than immediate conclusions.<\/span><\/p>\n

                            Q74. What is the BEST reason to examine the user account associated with a process execution alert?<\/b><\/p>\n

                              \n
                            1. <\/b> The identity can help determine whether the execution was expected for that user and whether credentials may have been misused<\/span><\/li>\n
                            2. <\/b> The username alone proves intent<\/span><\/li>\n
                            3. <\/b> Processes execute independently of user context<\/span><\/li>\n
                            4. <\/b> User information is relevant only to compliance reports<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 1. The identity can help determine whether the execution was expected for that user and whether credentials may have been misused<\/b><\/p>\n

                              Explanation:<\/b><\/p>\n

                              User context helps explain whether a process fits the expected behavior of the identity involved. A system administration command may be normal for an IT administrator but unusual for a standard user. If the identity was recently associated with suspicious authentication activity, the process alert may also indicate credential misuse. Analysts should still consider that attackers can operate under legitimate accounts, so the username does not prove human intent. Combining user context with endpoint, causality, artifact, and network evidence improves investigative accuracy.<\/span><\/p>\n

                              Q75. What is the primary purpose of an XSIAM threat-hunting hypothesis?<\/b><\/p>\n

                                \n
                              1. <\/b> To guarantee the hunt finds malicious activity<\/span><\/li>\n
                              2. <\/b> To define a testable security question that guides what telemetry and queries the analyst should examine<\/span><\/li>\n
                              3. <\/b> To replace incident investigation<\/span><\/li>\n
                              4. <\/b> To automatically increase alert severity<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 3. To define a testable security question that guides what telemetry and queries the analyst should examine<\/b><\/p>\n

                                Explanation:<\/b><\/p>\n

                                A threat-hunting hypothesis gives structure to a proactive investigation. For example, an analyst might hypothesize that stolen credentials are being used for remote access outside normal user behavior. That statement guides the selection of datasets, XQL filters, time ranges, and pivots. Evidence can support, refine, or reject the hypothesis. The goal is disciplined investigation rather than proving an assumption correct. Palo Alto Networks explicitly includes threat hunting among the areas validated by the XSIAM Analyst certification.<\/span><\/p>\n

                                Q76. An XQL query returns no records for an indicator that should exist. What should the analyst check FIRST?<\/b><\/p>\n

                                  \n
                                1. <\/b> The selected dataset, field name, value format, filters, and time range<\/span><\/li>\n
                                2. <\/b> Whether the incident owner is online<\/span><\/li>\n
                                3. <\/b> Whether every alert has been closed<\/span><\/li>\n
                                4. <\/b> The vulnerability-assessment schedule only<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 2. The selected dataset, field name, value format, filters, and time range<\/b><\/p>\n

                                  Explanation:<\/b><\/p>\n

                                  Unexpectedly empty results often come from query construction rather than missing telemetry. The analyst should confirm that the correct dataset is being searched, the target field exists in those records, the indicator is formatted correctly, and the selected time range includes the suspected activity. Overly restrictive filters can also exclude valid results. Testing a broader version of the query and then adding conditions incrementally is a useful troubleshooting technique. XQL analysis depends on understanding both the query language and the structure of the underlying data.<\/span><\/p>\n

                                  Q77. Why is it useful to identify the earliest suspicious activity in an incident?<\/b><\/p>\n

                                    \n
                                  1. <\/b> It can help determine the initial access or root-cause activity that preceded later alerts<\/span><\/li>\n
                                  2. <\/b> The earliest event is always the most severe<\/span><\/li>\n
                                  3. <\/b> Later events can be ignored once the first event is found<\/span><\/li>\n
                                  4. <\/b> It automatically proves the incident start time<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1. It can help determine the initial access or root-cause activity that preceded later alerts<\/b><\/p>\n

                                    Explanation:<\/b><\/p>\n

                                    The earliest visible suspicious event can provide important clues about how the incident began. It may reveal a malicious document, unusual login, exploit attempt, or process that led to subsequent activity. However, analysts should remain open to the possibility that the true compromise began earlier than the first currently identified event. Historical XQL searches and artifact pivots can help expand the timeline backward. Root-cause analysis is more reliable when the analyst reconstructs the full sequence rather than focusing only on the alert that initially drew attention.<\/span><\/p>\n

                                    Q78. An XSIAM automation recommends isolating an endpoint. What should an analyst review before approving the action on a production system?<\/b><\/p>\n

                                      \n
                                    1. <\/b> Only the endpoint name<\/span><\/li>\n
                                    2. <\/b> Incident evidence, asset criticality, confidence, current business impact, and the expected effect of isolation<\/span><\/li>\n
                                    3. <\/b> Only the number of alerts<\/span><\/li>\n
                                    4. <\/b> Whether the analyst has used XQL that day<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 4. Incident evidence, asset criticality, confidence, current business impact, and the expected effect of isolation<\/b><\/p>\n

                                      Explanation:<\/b><\/p>\n

                                      Endpoint isolation can be an effective containment action, but on a production system it may interrupt critical services. The analyst should confirm that the evidence supports compromise, understand the importance of the asset, consider whether other containment options exist, and evaluate what isolation will do to business operations. Automation recommendations accelerate response but should not remove risk-based judgment when actions are disruptive. Palo Alto Networks\u2019 XSIAM Analyst certification explicitly includes automation playbooks and incident response, making safe interpretation of automated actions part of the analyst role.<\/span><\/p>\n

                                      Q79. What is the BEST purpose of a post-incident XQL search after remediation is complete?<\/b><\/p>\n

                                        \n
                                      1. <\/b> Verify whether suspicious indicators or behaviors reappear and help validate the effectiveness of remediation<\/span><\/li>\n
                                      2. <\/b> Delete all historical telemetry<\/span><\/li>\n
                                      3. <\/b> Automatically close unrelated incidents<\/span><\/li>\n
                                      4. <\/b> Disable future hunting for the same behavior<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 2. Verify whether suspicious indicators or behaviors reappear and help validate the effectiveness of remediation<\/b><\/p>\n

                                        Explanation:<\/b><\/p>\n

                                        Remediation should be validated rather than assumed successful. Analysts can use XQL to search for recurring processes, network destinations, files, identities, or other behaviors associated with the original incident. If activity continues, persistence or incomplete cleanup may remain. A clean result increases confidence but should be interpreted with awareness of telemetry coverage. Post-incident querying also helps identify whether similar activity exists on systems outside the original incident scope. XQL therefore supports not only initial investigation but also recovery validation and follow-up hunting.<\/span><\/p>\n

                                        Q80. What is the BEST overall reason XSIAM combines analytics, investigation, automation, and broad telemetry in one SOC platform?<\/b><\/p>\n

                                          \n
                                        1. <\/b> To eliminate all security personnel<\/span><\/li>\n
                                        2. <\/b> To ensure every detection results in automatic containment<\/span><\/li>\n
                                        3. <\/b> To reduce fragmented workflows and help analysts detect, investigate, and respond using shared context<\/span><\/li>\n
                                        4. <\/b> To eliminate the need for prevention technologies<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 3. To reduce fragmented workflows and help analysts detect, investigate, and respond using shared context<\/b><\/p>\n

                                          Explanation:<\/b><\/p>\n

                                          Traditional SOC workflows often require analysts to move among separate SIEM, endpoint, threat-intelligence, case-management, and automation tools. XSIAM is designed to unify broad security data, analytics, incident context, automation, and investigation workflows so analysts can work from a shared operational picture. This can reduce manual correlation and accelerate response, but it does not eliminate human judgment or the need for layered preventive controls. Palo Alto Networks describes the XSIAM Analyst role as using the platform for automation, threat detection, alert handling, investigation, and response within a SOC.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Palo Alto Networks XSIAM-Analyst Exam Dumps and Practice Test Dumps. Q61. An analyst wants to identify the endpoints that generated the highest number of suspicious process events during the last day. Which XQL technique is MOST useful? Remove the endpoint field from the results Aggregate or group matching events by endpoint and count […]<\/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\/20660"}],"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=20660"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/20660\/revisions"}],"predecessor-version":[{"id":20661,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/20660\/revisions\/20661"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=20660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=20660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=20660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}