{"id":20655,"date":"2026-09-24T06:37:21","date_gmt":"2026-09-24T06:37:21","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=20655"},"modified":"2026-09-24T06:37:21","modified_gmt":"2026-09-24T06:37:21","slug":"palo-alto-networks-xsiam-analyst-practice-test-questions-and-exam-dumps-part2-q21-40","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/palo-alto-networks-xsiam-analyst-practice-test-questions-and-exam-dumps-part2-q21-40\/","title":{"rendered":"Palo Alto Networks XSIAM-Analyst Practice Test Questions and Exam Dumps Part2 Q21-40"},"content":{"rendered":"

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


\n<\/b>Q21. What is the primary value of reviewing the incident timeline in Cortex XSIAM?<\/b><\/p>\n

    \n
  1. <\/b> It modifies endpoint prevention policies automatically<\/span><\/li>\n
  2. <\/b> It removes all benign events from the data lake<\/span><\/li>\n
  3. <\/b> It displays only the final alert that created the incident<\/span><\/li>\n
  4. <\/b> It helps analysts understand the chronological progression of incident-related activity<\/span><\/li>\n<\/ol>\n

    Correct Answer: 4. It helps analysts understand the chronological progression of incident-related activity<\/b><\/p>\n

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

    The incident timeline helps an analyst reconstruct how suspicious activity developed over time. By examining related events in chronological order, the analyst can identify what happened first, what followed, and whether the sequence suggests initial access, execution, persistence, lateral movement, or another attack stage. This context is especially valuable when several alerts belong to the same incident. The timeline does not automatically modify prevention policies or remove telemetry. Palo Alto Networks describes XSIAM as providing incident drill-down and timeline capabilities that help analysts understand the full story of an incident.<\/span><\/p>\n

    Q22. An XSIAM analyst wants to investigate activity for one endpoint during a specific two-hour period. What is the BEST XQL starting point?<\/b><\/p>\n

      \n
    1. <\/b> Filter the relevant data by endpoint identifier and the required time range<\/span><\/li>\n
    2. <\/b> Query all historical data without filters<\/span><\/li>\n
    3. <\/b> Remove all timestamp criteria<\/span><\/li>\n
    4. <\/b> Search only incidents with Critical severity<\/span><\/li>\n<\/ol>\n

      Correct Answer: 1. Filter the relevant data by endpoint identifier and the required time range<\/b><\/p>\n

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

      A focused query is usually the most efficient starting point. Filtering by the known endpoint and the time period associated with the reported activity limits unrelated records while preserving the evidence most likely to matter. Once useful events are identified, the analyst can expand the search to additional users, processes, IP addresses, or earlier time periods. Starting with unrestricted historical data can produce unnecessary noise and make patterns harder to recognize. Palo Alto Networks specifically identifies querying and analyzing logs with XQL as a core investigation skill for XSIAM analysts.<\/span><\/p>\n

      Q23. What is the BEST reason to examine an artifact\u2019s related incidents in XSIAM?<\/b><\/p>\n

        \n
      1. <\/b> To delete the artifact after the first incident<\/span><\/li>\n
      2. <\/b> To automatically classify every historical incident as malicious<\/span><\/li>\n
      3. <\/b> To determine whether the same artifact has appeared in other security cases and identify broader relationships<\/span><\/li>\n
      4. <\/b> To prevent the artifact from being queried with XQL<\/span><\/li>\n<\/ol>\n

        Correct Answer: 3. To determine whether the same artifact has appeared in other security cases and identify broader relationships<\/b><\/p>\n

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

        Artifacts such as domains, hashes, URLs, and IP addresses can appear in multiple security incidents. Reviewing related cases can show whether the artifact is recurring, associated with the same campaign, or connected to different hosts and users. This historical relationship may change the analyst\u2019s understanding of incident scope and priority. An artifact appearing in several incidents does not automatically prove that every occurrence is malicious, so context remains essential. Palo Alto Networks\u2019 analyst training specifically emphasizes analysis of key assets and artifacts as part of comprehensive incident investigation.<\/span><\/p>\n

        Q24. Which situation BEST demonstrates the value of causality analysis in XSIAM?<\/b><\/p>\n

          \n
        1. <\/b> Determining how much log storage remains available<\/span><\/li>\n
        2. <\/b> Identifying that a document process launched a script interpreter that then created a suspicious child process<\/span><\/li>\n
        3. <\/b> Assigning an analyst to a compliance report<\/span><\/li>\n
        4. <\/b> Changing vulnerability severity manually<\/span><\/li>\n<\/ol>\n

          Correct Answer: 2. Identifying that a document process launched a script interpreter that then created a suspicious child process<\/b><\/p>\n

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

          Causality analysis is valuable because it reveals relationships among processes and events instead of presenting each detection in isolation. A document application launching a script interpreter, which then launches another suspicious process, may indicate a malicious execution chain even when individual executables are legitimate tools. The analyst can use this relationship to identify root cause and understand subsequent behavior. Causality analysis is not primarily a storage, reporting, or vulnerability-management function. Palo Alto Networks explicitly includes interpreting the causality chain among the skills taught for XSIAM incident investigation.<\/span><\/p>\n

          Q25. What is the BEST use of aggregation in an XQL investigation?<\/b><\/p>\n

            \n
          1. <\/b> Summarize data to reveal patterns such as the number of events by host, user, or destination<\/span><\/li>\n
          2. <\/b> Permanently modify the original telemetry<\/span><\/li>\n
          3. <\/b> Disable alerts associated with the query<\/span><\/li>\n
          4. <\/b> Automatically isolate all hosts represented in the results<\/span><\/li>\n<\/ol>\n

            Correct Answer: 1. Summarize data to reveal patterns such as the number of events by host, user, or destination<\/b><\/p>\n

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

            Aggregation helps analysts turn large volumes of telemetry into meaningful patterns. Instead of reading thousands of individual events, an analyst can count events by host, group activity by user, identify the most common destinations, or determine which process appears most frequently. These summaries can reveal outliers and guide further investigation. Aggregation is an analytical operation and does not modify the stored source data or automatically perform response actions. XQL is designed to help analysts query and analyze logs so that large security data sets can produce useful investigative insights.<\/span><\/p>\n

            Q26. An incident contains an alert on a legitimate system utility. What should the analyst do before concluding the utility was used maliciously?<\/b><\/p>\n

              \n
            1. <\/b> Delete the alert because legitimate utilities cannot be abused<\/span><\/li>\n
            2. <\/b> Review the utility\u2019s parent process, command line, user, endpoint, and surrounding activity<\/span><\/li>\n
            3. <\/b> Isolate every endpoint where the utility exists<\/span><\/li>\n
            4. <\/b> Close the incident immediately<\/span><\/li>\n<\/ol>\n

              Correct Answer: 4. Review the utility\u2019s parent process, command line, user, endpoint, and surrounding activity<\/b><\/p>\n

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

              Attackers frequently abuse legitimate tools, scripting engines, and administration utilities. The name of the executable alone is therefore insufficient for deciding whether activity is malicious. An analyst should examine how the process was launched, its command-line arguments, the user context, related network connections, child processes, and the causality chain. This contextual approach can distinguish normal administration from suspicious tool abuse. XSIAM investigation capabilities are designed to present related events and causality information so analysts can evaluate behavior in context rather than make decisions from isolated process names.<\/span><\/p>\n

              Q27. What is the main purpose of an XQL filter during an investigation?<\/b><\/p>\n

                \n
              1. <\/b> To isolate records that match relevant investigation criteria<\/span><\/li>\n
              2. <\/b> To increase the incident score automatically<\/span><\/li>\n
              3. <\/b> To modify endpoint agent settings<\/span><\/li>\n
              4. <\/b> To remove stored logs permanently<\/span><\/li>\n<\/ol>\n

                Correct Answer: 2. To isolate records that match relevant investigation criteria<\/b><\/p>\n

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

                Filtering narrows a data set to the records relevant to the question the analyst is asking. A filter might focus on a hostname, username, IP address, process, event category, or other field. This reduces noise and allows the investigator to work with a manageable set of evidence. Filters can be combined and refined as the investigation develops. They do not modify the endpoint or permanently delete source telemetry. Effective filtering is one of the basic techniques analysts use when applying XQL to security investigations and threat hunting.<\/span><\/p>\n

                Q28. An analyst finds a suspicious domain in one incident. Which next step BEST supports incident scoping?<\/b><\/p>\n

                  \n
                1. <\/b> Assume the domain affected only the current endpoint<\/span><\/li>\n
                2. <\/b> Remove the domain from the incident<\/span><\/li>\n
                3. <\/b> Search XSIAM telemetry for other hosts, users, or processes associated with the domain<\/span><\/li>\n
                4. <\/b> Close all incidents that do not contain the domain<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 3. Search XSIAM telemetry for other hosts, users, or processes associated with the domain<\/b><\/p>\n

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

                  A suspicious domain is a useful pivot that can help determine whether an incident is isolated or part of a broader campaign. The analyst should search for additional DNS activity, network connections, endpoints, processes, or users associated with the same domain. Any additional sightings should still be interpreted in context because contacting a suspicious domain does not automatically prove compromise. This iterative approach is central to both incident investigation and threat hunting. XSIAM\u2019s unified data and XQL capabilities allow analysts to pivot across telemetry without relying solely on the original alert.<\/span><\/p>\n

                  Q29. What is the BEST description of XSIAM automation that has already processed several alerts before an analyst opens an incident?<\/b><\/p>\n

                    \n
                  1. <\/b> Automation can perform predefined investigation or response actions before manual analyst review<\/span><\/li>\n
                  2. <\/b> Automation proves the incident is a false positive<\/span><\/li>\n
                  3. <\/b> The analyst no longer needs to inspect execution results<\/span><\/li>\n
                  4. <\/b> Automated alerts can never be reopened<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 4. Automation can perform predefined investigation or response actions before manual analyst review<\/b><\/p>\n

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

                    XSIAM can apply automation to alerts and incidents before an analyst begins manual investigation. Depending on the workflow, automation may enrich data, perform checks, update records, or complete other predefined actions. The analyst should review what automation has already done and what actions remain recommended or require human input. Automation does not guarantee the security disposition of the incident and does not eliminate analyst responsibility. Palo Alto Networks\u2019 XSIAM product tour specifically describes playbooks running automatically before analyst review and providing execution results and suggested follow-up actions.<\/span><\/p>\n

                    Q30. Why should an XSIAM analyst review automation execution results before taking additional response actions?<\/b><\/p>\n

                      \n
                    1. <\/b> To determine what has already been attempted, what succeeded, and what still requires attention<\/span><\/li>\n
                    2. <\/b> To disable every future playbook<\/span><\/li>\n
                    3. <\/b> To prove the incident is malicious<\/span><\/li>\n
                    4. <\/b> To replace the incident timeline<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 1. To determine what has already been attempted, what succeeded, and what still requires attention<\/b><\/p>\n

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

                      Reviewing automation execution results prevents duplicate work and helps analysts understand the current state of the incident. A playbook may already have enriched an indicator, collected endpoint information, or completed a response action. Conversely, an automated step may have failed or require human review. Understanding those outcomes helps the analyst choose the next action safely. XSIAM provides visibility into actions already performed and results obtained, allowing analysts to combine automation with informed human investigation rather than repeating or assuming actions.<\/span><\/p>\n

                      Q31. During threat hunting, an analyst discovers a rare executable on only one endpoint. What should the analyst do NEXT?<\/b><\/p>\n

                        \n
                      1. <\/b> Immediately declare the endpoint compromised<\/span><\/li>\n
                      2. <\/b> Examine file reputation, signer, path, parent process, user context, and related behavior<\/span><\/li>\n
                      3. <\/b> Delete the executable without investigation<\/span><\/li>\n
                      4. <\/b> Ignore the executable because it appears only once<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 2. Examine file reputation, signer, path, parent process, user context, and related behavior<\/b><\/p>\n

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

                        Rarity is useful for prioritization, but rare software is not automatically malicious. A specialized legitimate application may appear on only one system. The analyst should evaluate the executable\u2019s reputation, signature, location, execution chain, command line, user, network connections, and other related activity. If the file is unsigned, launched unexpectedly, or connected to suspicious infrastructure, concern increases. Threat hunting is most effective when anomalous signals lead to deeper contextual investigation rather than immediate conclusions. XSIAM supports this type of investigation through unified telemetry, artifacts, and causality analysis.<\/span><\/p>\n

                        Q32. What is the BEST reason to save or document a useful XQL hunting query?<\/b><\/p>\n

                          \n
                        1. <\/b> To stop other analysts from modifying the query<\/span><\/li>\n
                        2. <\/b> To delete the underlying telemetry after the hunt<\/span><\/li>\n
                        3. <\/b> To support repeatable investigations and reuse the logic in future hunts<\/span><\/li>\n
                        4. <\/b> To guarantee that the query will always detect malicious activity<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 3. To support repeatable investigations and reuse the logic in future hunts<\/b><\/p>\n

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

                          A useful hunting query can become a repeatable analytical technique. Documenting what the query looks for, which fields it uses, the intended time range, and what its results mean helps other analysts reproduce or refine the hunt. Reusable query logic can also provide ideas for improving continuous detection if the behavior is sufficiently reliable. Documentation does not guarantee that the query will always identify threats because environments and adversary techniques evolve. XQL is a central tool for investigation and log analysis in the official XSIAM Analyst training.<\/span><\/p>\n

                          Q33. What is the BEST reason to examine user context when investigating suspicious endpoint activity?<\/b><\/p>\n

                            \n
                          1. <\/b> The same process can have different significance depending on which identity executed it and whether that behavior is expected<\/span><\/li>\n
                          2. <\/b> User context always proves intent<\/span><\/li>\n
                          3. <\/b> Endpoint activity is irrelevant when a username is known<\/span><\/li>\n
                          4. <\/b> User data automatically determines vulnerability severity<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 1. The same process can have different significance depending on which identity executed it and whether that behavior is expected<\/b><\/p>\n

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

                            User context can significantly change how an analyst interprets an event. A remote administration tool executed by an approved system administrator may be expected, while the same tool launched by an ordinary user could require investigation. Analysts should compare identity, privileges, endpoint, time, command line, and historical behavior rather than treating the username as proof of intent. Compromised credentials can also make legitimate identities appear to perform malicious actions. Unified identity and endpoint context therefore helps XSIAM analysts make more accurate investigative decisions.<\/span><\/p>\n

                            Q34. An XSIAM incident contains several alerts that share the same endpoint and execution chain. What is the BEST interpretation?<\/b><\/p>\n

                              \n
                            1. <\/b> The alerts may represent related stages of the same attack and should be analyzed together<\/span><\/li>\n
                            2. <\/b> Every alert must be treated as a separate unrelated incident<\/span><\/li>\n
                            3. <\/b> Shared endpoint context proves every alert is malicious<\/span><\/li>\n
                            4. <\/b> Causality information should be ignored<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 4. The alerts may represent related stages of the same attack and should be analyzed together<\/b><\/p>\n

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

                              When alerts share the same endpoint, processes, causality chain, or timing, they may represent different observations of one broader attack sequence. Investigating them together can help identify initial execution, follow-on behavior, network communication, and other stages more efficiently than analyzing each alert independently. Shared context does not automatically make every alert a true positive; individual evidence still requires review. One of XSIAM\u2019s strengths is grouping and contextualizing alerts so analysts can understand the overall incident story rather than handling disconnected signals.<\/span><\/p>\n

                              Q35. Why is vulnerability context useful when an incident shows an exploitation attempt against a server?<\/b><\/p>\n

                                \n
                              1. <\/b> It proves exploitation succeeded<\/span><\/li>\n
                              2. <\/b> It helps determine whether the server has weaknesses relevant to the observed attack technique<\/span><\/li>\n
                              3. <\/b> It removes the need to inspect endpoint or network evidence<\/span><\/li>\n
                              4. <\/b> It automatically isolates the server<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 3. It helps determine whether the server has weaknesses relevant to the observed attack technique<\/b><\/p>\n

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

                                Knowing whether the target has a vulnerability relevant to the observed exploit can help analysts prioritize investigation and understand technical plausibility. However, vulnerability presence does not prove that exploitation succeeded, and a patched system can still generate attempted-exploit telemetry. Analysts should combine vulnerability information with process execution, network responses, file activity, causality, and other evidence. Palo Alto Networks includes vulnerability assessment as a specific knowledge area in the XSIAM Analyst certification, making the ability to interpret vulnerability context important for risk-based SOC analysis.<\/span><\/p>\n

                                Q36. What is the BEST purpose of an executive-oriented XSIAM security report?<\/b><\/p>\n

                                  \n
                                1. <\/b> Present important risk, incident, and operational trends in a concise form appropriate for decision-makers<\/span><\/li>\n
                                2. <\/b> Include every raw telemetry record<\/span><\/li>\n
                                3. <\/b> Replace incident investigations<\/span><\/li>\n
                                4. <\/b> Provide only XQL syntax examples<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 2. Present important risk, incident, and operational trends in a concise form appropriate for decision-makers<\/b><\/p>\n

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

                                  Executive stakeholders generally need a clear understanding of business risk, important incidents, response performance, vulnerability trends, and significant changes rather than every technical event. A useful report summarizes relevant metrics and findings and provides enough context to support security decisions. Technical details can remain available for analysts when required. Reporting does not replace incident investigation or raw-data retention. Palo Alto Networks explicitly lists reporting as one of the capability areas validated by the XSIAM Analyst certification.<\/span><\/p>\n

                                  Q37. An analyst sees an automated recommendation to run an additional playbook. What should the analyst consider before executing it?<\/b><\/p>\n

                                    \n
                                  1. <\/b> The purpose and expected actions of the playbook, available incident evidence, and possible response impact<\/span><\/li>\n
                                  2. <\/b> Every recommended playbook should always run automatically<\/span><\/li>\n
                                  3. <\/b> Recommended actions never affect endpoints<\/span><\/li>\n
                                  4. <\/b> The incident can be closed before reviewing the recommendation<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 4. The purpose and expected actions of the playbook, available incident evidence, and possible response impact<\/b><\/p>\n

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

                                    A recommended playbook can accelerate investigation or response, but the analyst should understand what it will do before launching potentially disruptive actions. This includes checking the incident evidence, target assets, expected enrichment or containment steps, and whether human approval is appropriate. Palo Alto Networks\u2019 XSIAM product tour describes recommended playbooks that analysts can review or preview before execution. This workflow combines automation with analyst judgment, particularly when actions can affect production assets or user access.<\/span><\/p>\n

                                    Q38. Why is the Executions view useful during an XSIAM investigation?<\/b><\/p>\n

                                      \n
                                    1. <\/b> It replaces the incident itself<\/span><\/li>\n
                                    2. <\/b> It provides visibility into automation and actions that occurred during the incident<\/span><\/li>\n
                                    3. <\/b> It shows only endpoint inventory<\/span><\/li>\n
                                    4. <\/b> It disables playbooks that have completed<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 2. It provides visibility into automation and actions that occurred during the incident<\/b><\/p>\n

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

                                      Understanding what automation has already performed is important when deciding what to do next. Execution information can show which playbooks ran, what steps completed, and whether actions succeeded or required review. This prevents unnecessary duplication and provides an operational record of automated handling. The execution view complements the incident timeline, causality, alerts, assets, and artifacts rather than replacing them. Palo Alto Networks\u2019 official XSIAM product tour highlights the Executions tab as a place to review what occurred during an incident.<\/span><\/p>\n

                                      Q39. Why should an analyst investigate an alert even when automation has already performed enrichment?<\/b><\/p>\n

                                        \n
                                      1. <\/b> Enrichment provides context, but analysts may still need to determine intent, scope, root cause, and appropriate response<\/span><\/li>\n
                                      2. <\/b> Automated enrichment always makes alerts less reliable<\/span><\/li>\n
                                      3. <\/b> Enrichment deletes causality data<\/span><\/li>\n
                                      4. <\/b> Automated results cannot be used in investigations<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 1. Enrichment provides context, but analysts may still need to determine intent, scope, root cause, and appropriate response<\/b><\/p>\n

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

                                        Automation can gather useful information quickly, such as reputation, endpoint details, or related artifacts, but it does not necessarily answer every investigative question. The analyst may still need to determine whether the activity is malicious, identify root cause, scope affected systems and users, interpret causality, and decide whether containment is justified. Automated enrichment should reduce repetitive work and improve context, allowing the analyst to focus on judgment-intensive tasks. XSIAM\u2019s approach combines automated incident handling with analyst investigation rather than treating the two as mutually exclusive.<\/span><\/p>\n

                                        Q40. What is the BEST reason to combine XQL results with incident and causality views during an investigation?<\/b><\/p>\n

                                          \n
                                        1. <\/b> XQL alone cannot return any useful security data<\/span><\/li>\n
                                        2. <\/b> Incident views automatically replace query analysis<\/span><\/li>\n
                                        3. <\/b> Queries provide targeted data exploration, while incident and causality views provide contextual relationships around the attack<\/span><\/li>\n
                                        4. <\/b> Causality views are used only for reporting<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 3. Queries provide targeted data exploration, while incident and causality views provide contextual relationships around the attack<\/b><\/p>\n

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

                                          Different investigation tools answer different questions. XQL allows analysts to search telemetry flexibly and test specific hypotheses, while incident and causality views help explain how alerts, processes, assets, and events relate to one another. Combining these approaches produces a richer understanding than relying exclusively on one view. An analyst can start from an incident, use causality to identify suspicious entities, pivot into XQL for broader hunting, and then return to the incident with additional evidence. Palo Alto Networks emphasizes both XQL log analysis and causality interpretation in its official analyst training.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Palo Alto Networks XSIAM-Analyst Exam Dumps and Practice Test Dumps. Q21. What is the primary value of reviewing the incident timeline in Cortex XSIAM? It modifies endpoint prevention policies automatically It removes all benign events from the data lake It displays only the final alert that created the incident It helps analysts understand […]<\/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\/20655"}],"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=20655"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/20655\/revisions"}],"predecessor-version":[{"id":20656,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/20655\/revisions\/20656"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=20655"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=20655"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=20655"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}