{"id":20676,"date":"2026-09-24T06:46:08","date_gmt":"2026-09-24T06:46:08","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=20676"},"modified":"2026-09-24T06:46:08","modified_gmt":"2026-09-24T06:46:08","slug":"palo-alto-networks-xsiam-analyst-practice-test-questions-and-exam-dumps-part12-q221-240","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/palo-alto-networks-xsiam-analyst-practice-test-questions-and-exam-dumps-part12-q221-240\/","title":{"rendered":"Palo Alto Networks XSIAM-Analyst Practice Test Questions and Exam Dumps Part12 Q221-240"},"content":{"rendered":"

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


\n<\/b>Q221. Why is correlating cloud activity with identity telemetry useful during an XSIAM investigation?<\/b><\/p>\n

    \n
  1. <\/b> Cloud activity cannot be investigated without endpoint telemetry<\/span><\/li>\n
  2. <\/b> Identity telemetry automatically proves malicious intent<\/span><\/li>\n
  3. <\/b> It can connect a user or service identity with actions performed against cloud resources<\/span><\/li>\n
  4. <\/b> It eliminates the need to review timestamps<\/span><\/li>\n<\/ol>\n

    Correct Answer: 3. It can connect a user or service identity with actions performed against cloud resources<\/b><\/p>\n

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

    Cloud investigations often require understanding who performed an action as well as what resource was affected. Correlating identity information with cloud activity can reveal that a particular account created a resource, changed permissions, accessed sensitive data, or performed an unusual administrative operation. This relationship helps analysts distinguish legitimate automation from compromised credentials or unauthorized behavior. Identity alone does not prove intent, so the analyst should also review source information, historical activity, affected assets, timing, and related detections. XSIAM\u2019s unified-data approach is designed to bring identity, cloud, endpoint, network, and third-party telemetry into a shared analytical context.<\/span><\/p>\n

    Q222. What is the BEST reason to review whether a suspicious account is a human user or a service identity?<\/b><\/p>\n

      \n
    1. <\/b> Expected behavior, privileges, and normal access patterns can differ significantly between human and service identities<\/span><\/li>\n
    2. <\/b> Service identities cannot be compromised<\/span><\/li>\n
    3. <\/b> Human users never perform automated actions<\/span><\/li>\n
    4. <\/b> Identity type automatically determines incident severity<\/span><\/li>\n<\/ol>\n

      Correct Answer: 1. Expected behavior, privileges, and normal access patterns can differ significantly between human and service identities<\/b><\/p>\n

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

      Identity type provides important context during investigation. A service identity may legitimately authenticate frequently, access many systems, or perform actions without an interactive user session, while the same behavior might be unusual for a standard employee account. Conversely, compromised service credentials can provide attackers with broad and persistent access. Analysts should compare the identity\u2019s normal role, privilege level, source systems, historical behavior, and affected resources before determining whether activity is suspicious. Identity classification therefore helps establish an appropriate behavioral baseline but does not itself prove or disprove compromise.<\/span><\/p>\n

      Q223. An analyst sees an administrative action performed from a previously unseen cloud source. What should be investigated FIRST?<\/b><\/p>\n

        \n
      1. <\/b> Only the destination resource name<\/span><\/li>\n
      2. <\/b> Only the incident score<\/span><\/li>\n
      3. <\/b> Whether the action generated a vulnerability finding<\/span><\/li>\n
      4. <\/b> The identity, source context, authentication method, affected resource, and whether the action is expected**<\/span><\/li>\n<\/ol>\n

        Correct Answer: 4. The identity, source context, authentication method, affected resource, and whether the action is expected<\/b><\/p>\n

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

        An unfamiliar source for an administrative action can indicate credential misuse, but it can also result from legitimate automation, cloud infrastructure, remote administration, or a new operational workflow. The analyst should therefore determine which identity performed the action, how it authenticated, what resource was changed, whether a change was approved, and whether similar activity exists historically. Incident score and vulnerability context can contribute to prioritization, but they do not explain the behavior by themselves. XSIAM investigations are strongest when analysts correlate multiple sources of context before making containment or disposition decisions.<\/span><\/p>\n

        Q224. What is the main investigative value of examining privilege changes associated with an identity?<\/b><\/p>\n

          \n
        1. <\/b> Privilege changes always prove compromise<\/span><\/li>\n
        2. <\/b> They can reveal whether an account gained access that could enable broader or more damaging activity<\/span><\/li>\n
        3. <\/b> Privilege information is relevant only to compliance<\/span><\/li>\n
        4. <\/b> A privilege change automatically isolates the identity<\/span><\/li>\n<\/ol>\n

          Correct Answer: 2. They can reveal whether an account gained access that could enable broader or more damaging activity<\/b><\/p>\n

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

          Privilege escalation can significantly increase an attacker\u2019s capabilities. An identity that suddenly receives administrative permissions may be able to alter security controls, access sensitive systems, or move laterally more effectively. Analysts should determine who changed the privileges, when the change occurred, whether it was approved, and what the account did afterward. Legitimate role changes and maintenance can also modify permissions, so the event should be correlated with business context and historical behavior. Privilege data is therefore valuable for both incident scoping and response prioritization.<\/span><\/p>\n

          Q225. Why is it useful to compare case activity before and after a major containment action?<\/b><\/p>\n

            \n
          1. <\/b> To determine whether suspicious behavior stopped, continued, or shifted after containment<\/span><\/li>\n
          2. <\/b> Containment automatically removes historical telemetry<\/span><\/li>\n
          3. <\/b> Post-containment activity can never be malicious<\/span><\/li>\n
          4. <\/b> Containment eliminates the need for further queries<\/span><\/li>\n<\/ol>\n

            Correct Answer: 4. To determine whether suspicious behavior stopped, continued, or shifted after containment<\/b><\/p>\n

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

            Containment should produce an observable change in attacker capability or activity. After an endpoint is isolated or an identity is disabled, analysts should review subsequent telemetry to determine whether suspicious behavior stopped or whether related activity continued elsewhere. Continued events may indicate incomplete scope, alternate credentials, persistence, or additional compromised assets. A clean post-containment period increases confidence but should be interpreted within the limits of available telemetry. XSIAM\u2019s unified investigation and query capabilities allow analysts to validate response effectiveness instead of assuming that a containment request resolved the entire incident.<\/span><\/p>\n

            Q226. What is the BEST reason to analyze the relationship between a process and its network destination rather than reviewing either in isolation?<\/b><\/p>\n

              \n
            1. <\/b> Network destinations always determine process legitimacy<\/span><\/li>\n
            2. <\/b> The relationship can reveal what a process was communicating with and help clarify its likely purpose<\/span><\/li>\n
            3. <\/b> Process telemetry makes network data unnecessary<\/span><\/li>\n
            4. <\/b> Every process that connects externally is malicious<\/span><\/li>\n<\/ol>\n

              Correct Answer: 2. The relationship can reveal what a process was communicating with and help clarify its likely purpose<\/b><\/p>\n

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

              A process may appear legitimate by name but become suspicious when it contacts unexpected infrastructure. Similarly, a suspicious destination becomes more meaningful when analysts know which executable, user, and endpoint generated the connection. Correlating process and network context can reveal command-and-control, malicious downloads, cloud-service abuse, or legitimate software behavior. Analysts should also review timing, reputation, command lines, file artifacts, and historical patterns. XSIAM\u2019s unified security data makes these relationships easier to investigate without treating endpoint and network activity as separate silos.<\/span><\/p>\n

              Q227. An XQL query shows hundreds of repeated records for the same domain and endpoint. Which technique is MOST useful if the analyst wants one unique endpoint-domain pair?<\/b><\/p>\n

                \n
              1. <\/b> Deduplicate the result using the relevant endpoint and domain fields<\/span><\/li>\n
              2. <\/b> Increase the time range<\/span><\/li>\n
              3. <\/b> Remove both fields from the output<\/span><\/li>\n
              4. <\/b> Sort only by severity<\/span><\/li>\n<\/ol>\n

                Correct Answer: 1. Deduplicate the result using the relevant endpoint and domain fields<\/b><\/p>\n

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

                Repeated telemetry can make an investigation difficult to review when the analyst only needs a list of unique relationships. Deduplicating by endpoint and domain can reduce repeated rows while preserving one representative pair for each unique combination. The analyst can separately calculate frequency if repeated communication itself is important. Deduplication changes the query output rather than the underlying stored telemetry. This approach helps analysts create clean pivot lists for broader searches while retaining the option to return to detailed event-level data if timing or volume becomes relevant.<\/span><\/p>\n

                Q228. Why might an analyst normalize text case in an XQL query before grouping results?<\/b><\/p>\n

                  \n
                1. <\/b> To change the original source records permanently<\/span><\/li>\n
                2. <\/b> To ensure values that differ only by capitalization are treated consistently during comparison or grouping<\/span><\/li>\n
                3. <\/b> To make every value malicious<\/span><\/li>\n
                4. <\/b> To disable artifact enrichment<\/span><\/li>\n<\/ol>\n

                  Correct Answer: 3. To ensure values that differ only by capitalization are treated consistently during comparison or grouping<\/b><\/p>\n

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

                  Security data can contain the same logical value with different capitalization, such as <\/span>ADMIN<\/span>, <\/span>Admin<\/span>, and <\/span>admin<\/span>. If the query groups these strings exactly as stored, the analyst may see several separate values even though they represent the same identity or object. Normalizing case before comparison or aggregation can produce cleaner results and reduce misleading fragmentation. Analysts should still preserve access to original values when exact formatting matters. Text normalization is an analytical preparation step that improves consistency; it does not modify the underlying source telemetry permanently.<\/span><\/p>\n

                  Q229. What is the BEST reason to use an XQL calculation to derive a new field during an investigation?<\/b><\/p>\n

                    \n
                  1. <\/b> Derived fields can transform existing telemetry into values that are easier to analyze or compare<\/span><\/li>\n
                  2. <\/b> Calculated fields automatically become prevention rules<\/span><\/li>\n
                  3. <\/b> Derived values replace the original data<\/span><\/li>\n
                  4. <\/b> Calculations can only be used for vulnerability scoring<\/span><\/li>\n<\/ol>\n

                    Correct Answer: 2. Derived fields can transform existing telemetry into values that are easier to analyze or compare<\/b><\/p>\n

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

                    Sometimes the raw fields available in telemetry do not directly answer the analyst\u2019s question. A calculated field can combine values, normalize information, classify results, or derive another useful representation for later filtering and aggregation. For example, an analyst might derive a simplified category from several possible event values or calculate elapsed time between related timestamps. Derived data should remain traceable to the source information so the analyst can validate its meaning. It is an analytical convenience rather than a change to endpoint policy or permanent alteration of the stored telemetry.<\/span><\/p>\n

                    Q230. An analyst wants to compare two time periods to determine whether suspicious behavior began recently. What approach is MOST appropriate?<\/b><\/p>\n

                      \n
                    1. <\/b> Query and summarize the same behavior over both periods, then compare the resulting patterns<\/span><\/li>\n
                    2. <\/b> Search only the current hour<\/span><\/li>\n
                    3. <\/b> Delete the older data before comparison<\/span><\/li>\n
                    4. <\/b> Assume recent alerts imply recent compromise<\/span><\/li>\n<\/ol>\n

                      Correct Answer: 4. Query and summarize the same behavior over both periods, then compare the resulting patterns<\/b><\/p>\n

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

                      Comparing equivalent searches over different periods can reveal whether a behavior is new, recurring, or historically normal. For example, a process that appears unusual today may have executed weekly for months, while a destination observed for the first time immediately before an incident may warrant greater attention. The comparison should use similar filters and aggregation logic so the results are meaningful. A recent alert does not necessarily mean the compromise is recent; retrospective searches may reveal earlier activity. XQL supports this iterative historical analysis as part of threat hunting and incident investigation.<\/span><\/p>\n

                      Q231. Why should an analyst review the original issue details even when a case has a high score?<\/b><\/p>\n

                        \n
                      1. <\/b> Case scoring does not replace evidence about what actually happened<\/span><\/li>\n
                      2. <\/b> High scores are always incorrect<\/span><\/li>\n
                      3. <\/b> Issues are relevant only to engineers<\/span><\/li>\n
                      4. <\/b> Score automatically contains every technical detail<\/span><\/li>\n<\/ol>\n

                        Correct Answer: 1. Case scoring does not replace evidence about what actually happened<\/b><\/p>\n

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

                        Case score is designed to assist prioritization, not to replace investigation. A high score indicates that a case may be urgent or impactful, but analysts still need to understand the underlying issues, affected assets, identities, artifacts, timeline, and behavior. An apparently serious case may have a legitimate explanation, while a low-scoring case may contain important malicious activity on a critical asset. Analysts should therefore use automated scoring as one contextual signal among many and base final response decisions on the actual evidence present in the case.<\/span><\/p>\n

                        Q232. What is the BEST reason to review related cases involving the same privileged user?<\/b><\/p>\n

                          \n
                        1. <\/b> Privileged users should automatically be disabled after two cases<\/span><\/li>\n
                        2. <\/b> Repeated case associations may reveal recurring misuse, compromise, or a legitimate administrative pattern requiring context<\/span><\/li>\n
                        3. <\/b> Related cases always have the same root cause<\/span><\/li>\n
                        4. <\/b> A user can appear in only one case at a time<\/span><\/li>\n<\/ol>\n

                          Correct Answer: 3. Repeated case associations may reveal recurring misuse, compromise, or a legitimate administrative pattern requiring context<\/b><\/p>\n

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

                          A privileged identity appearing repeatedly in security cases deserves careful review because the pattern can indicate recurring credential compromise, suspicious administrative activity, or simply legitimate work that triggers detections. Comparing cases helps analysts identify common endpoints, commands, times, or artifacts and determine whether the same underlying cause is present. The account should not be disabled solely because it appears in multiple cases. Historical relationship analysis provides context that can improve both incident response and detection tuning.<\/span><\/p>\n

                          Q233. What is the primary benefit of case comments or analyst notes during a long investigation?<\/b><\/p>\n

                            \n
                          1. <\/b> They preserve reasoning, observations, and decisions that may not be obvious from raw telemetry alone<\/span><\/li>\n
                          2. <\/b> They automatically modify SmartScore<\/span><\/li>\n
                          3. <\/b> They replace evidence records<\/span><\/li>\n
                          4. <\/b> They suppress future related issues<\/span><\/li>\n<\/ol>\n

                            Correct Answer: 4. They preserve reasoning, observations, and decisions that may not be obvious from raw telemetry alone<\/b><\/p>\n

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

                            Telemetry shows what systems recorded, but it does not necessarily capture why an analyst chose a particular interpretation or response. Notes can document hypotheses, business context, conversations with system owners, reasons for containment, and outstanding questions. This is particularly useful when incidents span multiple analysts or shifts. Good notes should complement evidence and timeline data rather than replace them. They improve investigative continuity and make post-incident review easier because future readers can understand the reasoning behind major decisions.<\/span><\/p>\n

                            Q234. Why might an analyst lower the priority of a case after investigation even if several alerts remain associated with it?<\/b><\/p>\n

                              \n
                            1. <\/b> Evidence may demonstrate that the alerts represent expected or benign activity with limited risk<\/span><\/li>\n
                            2. <\/b> More alerts always mean lower risk<\/span><\/li>\n
                            3. <\/b> Priority should never change during investigation<\/span><\/li>\n
                            4. <\/b> Alert count is unrelated to investigation<\/span><\/li>\n<\/ol>\n

                              Correct Answer: 1. Evidence may demonstrate that the alerts represent expected or benign activity with limited risk<\/b><\/p>\n

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

                              Priority should evolve as evidence improves. A case may initially look serious because several detections are grouped together, but investigation can reveal that the activity came from authorized administration, a penetration test, or another legitimate workflow. In that situation, lowering priority or resolving the case may be appropriate. Conversely, one high-confidence alert affecting a critical asset may deserve greater urgency than a noisy case with many benign alerts. XSIAM\u2019s scoring, severity, and contextual views support prioritization, but the analyst\u2019s evidence-based conclusion remains essential.<\/span><\/p>\n

                              Q235. What is the BEST reason to compare endpoint vulnerability findings with an observed exploit chain?<\/b><\/p>\n

                                \n
                              1. <\/b> A matching vulnerability can increase confidence that the exploit path is technically plausible<\/span><\/li>\n
                              2. <\/b> Vulnerability presence automatically proves the chain succeeded<\/span><\/li>\n
                              3. <\/b> Causality becomes unnecessary when a CVE exists<\/span><\/li>\n
                              4. <\/b> Exploits can target only Critical vulnerabilities<\/span><\/li>\n<\/ol>\n

                                Correct Answer: 2. A matching vulnerability can increase confidence that the exploit path is technically plausible<\/b><\/p>\n

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

                                A vulnerability relevant to the observed exploit behavior strengthens the technical plausibility of the incident, especially when the affected software version and service match the attempted technique. However, the analyst still needs evidence that exploitation actually succeeded, such as process execution, file creation, privilege change, or other causality indicators. Vulnerability severity alone should not determine incident disposition. Palo Alto Networks includes vulnerability assessment within the XSIAM Analyst skill set because combining exposure information with active threat evidence supports better prioritization and remediation decisions.<\/span><\/p>\n

                                Q236. A threat hunter identifies one host with a process name that is common enterprise-wide but an unusual command line. What should be prioritized?<\/b><\/p>\n

                                  \n
                                1. <\/b> The process name only<\/span><\/li>\n
                                2. <\/b> The endpoint\u2019s operating-system version only<\/span><\/li>\n
                                3. <\/b> The unusual command-line behavior and surrounding execution context<\/span><\/li>\n
                                4. <\/b> The number of endpoints running the same executable<\/span><\/li>\n<\/ol>\n

                                  Correct Answer: 3. The unusual command-line behavior and surrounding execution context<\/b><\/p>\n

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

                                  Common executables can still be used maliciously. If the process name is widespread but one endpoint uses a rare or suspicious command line, the parameters may provide the stronger behavioral signal. Analysts should investigate the parent process, user, endpoint role, network activity, file modifications, and whether similar command lines appear elsewhere. This is an example of behavior-oriented threat hunting: the legitimate tool itself is less important than how it is being used. Broadly alerting on every execution of a common utility would usually create excessive noise.<\/span><\/p>\n

                                  Q237. What is the BEST reason to investigate an unexpected new scheduled task on an endpoint?<\/b><\/p>\n

                                    \n
                                  1. <\/b> Scheduled tasks can be used for persistence or recurring execution and should be validated against expected administrative activity<\/span><\/li>\n
                                  2. <\/b> Every scheduled task is malware<\/span><\/li>\n
                                  3. <\/b> Scheduled tasks cannot be created legitimately<\/span><\/li>\n
                                  4. <\/b> Task creation affects only compliance reporting<\/span><\/li>\n<\/ol>\n

                                    Correct Answer: 1. Scheduled tasks can be used for persistence or recurring execution and should be validated against expected administrative activity<\/b><\/p>\n

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

                                    Scheduled tasks are legitimate operating-system features but can also provide attackers with persistence or automated execution. Analysts should review who created the task, what command or executable it runs, when it executes, whether the task exists on similar systems, and what occurred immediately before creation. A newly created task associated with suspicious process activity or credentials deserves additional attention. The key is to distinguish expected systems administration from unauthorized persistence using causality, user context, and historical telemetry.<\/span><\/p>\n

                                    Q238. An automated playbook enrichment returns no threat-intelligence information for a domain. What should the analyst infer?<\/b><\/p>\n

                                      \n
                                    1. <\/b> The domain is definitely benign<\/span><\/li>\n
                                    2. <\/b> The result is inconclusive; local telemetry and additional context should still be evaluated<\/span><\/li>\n
                                    3. <\/b> The domain is definitely malicious<\/span><\/li>\n
                                    4. <\/b> The incident should be closed automatically<\/span><\/li>\n<\/ol>\n

                                      Correct Answer: 3. The result is inconclusive; local telemetry and additional context should still be evaluated<\/b><\/p>\n

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

                                      A lack of external threat-intelligence information may simply mean the domain is new, uncommon, or not yet classified by the provider. It should not be treated as either benign or malicious solely because no reputation is available. Analysts should examine domain age, associated processes, DNS activity, destination behavior, user context, historical sightings, and other intelligence sources where appropriate. Automation can accelerate enrichment, but analyst judgment remains necessary when external data is incomplete. XSIAM\u2019s analyst role explicitly combines automation with incident investigation and threat hunting.<\/span><\/p>\n

                                      Q239. Why is it useful to correlate vulnerability findings with business application ownership?<\/b><\/p>\n

                                        \n
                                      1. <\/b> Ownership automatically changes vulnerability severity<\/span><\/li>\n
                                      2. <\/b> It helps determine who can support remediation and how the weakness may affect important business services<\/span><\/li>\n
                                      3. <\/b> Vulnerabilities on owned applications are always lower risk<\/span><\/li>\n
                                      4. <\/b> Business owners replace security analysts during investigation<\/span><\/li>\n<\/ol>\n

                                        Correct Answer: 4. It helps determine who can support remediation and how the weakness may affect important business services<\/b><\/p>\n

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

                                        Technical severity alone does not describe the full business impact of a vulnerability. Knowing which application or service depends on the affected asset helps analysts and remediation teams understand operational importance and identify the appropriate owner for corrective action. A medium-rated weakness on a critical Internet-facing application may deserve more attention than a higher-rated issue on an isolated test system. Ownership information also improves coordination because the correct business or technical team can be engaged quickly. Vulnerability assessment becomes more actionable when technical exposure is connected to real organizational context.<\/span><\/p>\n

                                        Q240. What is the BEST overall approach when a case contains an unusual identity event, suspicious endpoint execution, and matching network activity?<\/b><\/p>\n

                                          \n
                                        1. <\/b> Review only the highest-severity issue<\/span><\/li>\n
                                        2. <\/b> Correlate the identity, endpoint, network, artifacts, timeline, and causality information to determine whether they form one attack sequence<\/span><\/li>\n
                                        3. <\/b> Treat each signal as unrelated until a playbook links them<\/span><\/li>\n
                                        4. <\/b> Close the case if no single alert proves compromise<\/span><\/li>\n<\/ol>\n

                                          Correct Answer: 2. Correlate the identity, endpoint, network, artifacts, timeline, and causality information to determine whether they form one attack sequence<\/b><\/p>\n

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

                                          The strongest incident conclusions usually come from several related sources of evidence rather than one alert in isolation. An unusual identity event may represent initial access, suspicious endpoint execution may show attacker activity, and matching network behavior may reveal command-and-control or lateral movement. Analysts should test whether the timing and entities connect these signals into a coherent sequence. Cortex XSIAM is designed to unify broad security data and apply analytics and automation so analysts can see the full attack story and investigate from shared context.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Palo Alto Networks XSIAM-Analyst Exam Dumps and Practice Test Dumps. Q221. Why is correlating cloud activity with identity telemetry useful during an XSIAM investigation? Cloud activity cannot be investigated without endpoint telemetry Identity telemetry automatically proves malicious intent It can connect a user or service identity with actions performed against cloud resources It […]<\/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\/20676"}],"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=20676"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/20676\/revisions"}],"predecessor-version":[{"id":20677,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/20676\/revisions\/20677"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=20676"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=20676"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=20676"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}