{"id":24734,"date":"2026-09-29T12:30:14","date_gmt":"2026-09-29T12:30:14","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=24734"},"modified":"2026-09-29T12:30:14","modified_gmt":"2026-09-29T12:30:14","slug":"salesforce-certified-integration-architect-practice-test-questions-and-exam-dumps-part20-q381-400","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/salesforce-certified-integration-architect-practice-test-questions-and-exam-dumps-part20-q381-400\/","title":{"rendered":"Salesforce Certified Integration Architect Practice Test Questions and Exam Dumps Part20 Q381-400"},"content":{"rendered":"<p><b>View Full <\/b><a href=\"https:\/\/www.examlabs.com\/certified-integration-architect-exam-dumps\"><b>Salesforce Certified Integration Architect Exam Dumps<\/b><\/a><b> and Practice Test Dumps.<\/b><\/p>\n<p><b><br \/>\n<\/b><b>Q381. Which REST API feature should a client use to retrieve the next set of records from a large query<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Static Resource<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> nextRecordsUrl<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Dashboard filter<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Report folder<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. nextRecordsUrl<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">nextRecordsUrl provides the location for retrieving the next portion of Salesforce query results when the complete result set does not fit in one response. Static Resources store files and do not manage query pagination. Dashboard filters and report folders belong to analytics functionality. nextRecordsUrl is therefore the correct answer because clients should follow Salesforce pagination information rather than attempting to construct their own record offsets. Architects should also make sure the consumer handles interrupted pagination safely and does not assume that every query result will be returned in a single response.<\/span><\/p>\n<p><b>Q382. Which security method verifies both sides of a connection using certificates<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Anonymous access<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Password only authentication<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Browser session reuse<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Mutual TLS<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4. Mutual TLS<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Mutual TLS authenticates both the client and the server by requiring each side to present and validate a certificate. Anonymous access provides no trusted identity. Password only authentication does not provide certificate based verification of both parties. Browser session reuse is inappropriate for service integration. Mutual TLS is therefore the correct answer because highly trusted system connections may require stronger assurance about the identity of both endpoints. Architects should manage certificate issuance renewal expiration and revocation carefully so a certificate lifecycle problem does not cause an unexpected production outage.<\/span><\/p>\n<p><b>Q383. Which API design choice reduces payload size when a consumer requires only a few Salesforce fields<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Request only required fields<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Retrieve every field<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Replicate the full object<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Add duplicate attributes<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. Request only required fields<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Requesting only required fields reduces response size processing effort and unnecessary data exposure. Retrieving every field transfers information the consumer may never use. Full object replication creates additional synchronization and storage overhead. Adding duplicate attributes increases payload size further. Request only required fields is therefore the correct answer because efficient integrations should minimize the amount of information exchanged for each business requirement. Architects should also consider whether frequently reused reference values can be cached and whether confidential fields should be excluded unless they are explicitly required.<\/span><\/p>\n<p><b>Q384. Which technique can reduce network bandwidth when very large textual payloads are exchanged<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Duplicate transmission<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> More API users<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Payload compression<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Disable caching<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. Payload compression<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Payload compression reduces the number of bytes transmitted across the network for large compressible messages. Duplicate transmission increases bandwidth consumption. Additional API users do not reduce message size. Disabling caching may increase network activity. Payload compression is therefore the correct answer when large textual payloads create significant network overhead and both endpoints support compatible compression. Architects should also consider the processor cost of compression and whether smaller message contracts or more selective data retrieval would provide greater overall efficiency than compressing unnecessarily large payloads.<\/span><\/p>\n<p><b>Q385. Which practice best prevents production secrets from being copied into lower environments<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Environment specific credentials<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Shared production secrets<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Credentials in source code<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Public configuration files<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. Environment specific credentials<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Environment specific credentials ensure development testing and production use separate authentication material. Shared production secrets unnecessarily expose privileged access outside production. Storing credentials in source code can leak them through repositories and deployment packages. Public configuration files are also insecure. Environment specific credentials is therefore the correct answer because each environment should have independent identities and access boundaries. Architects should combine this approach with secure credential storage rotation and least privilege permissions so a compromise in one environment does not automatically provide access to another.<\/span><\/p>\n<p><b>Q386. Which design best reduces latency when many independent read requests can be performed at the same time<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Process every request serially<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Use one browser session<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Add manual approval<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Parallel independent requests<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4. Parallel independent requests<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Parallel independent requests can reduce total elapsed time when several read operations do not depend on one another and the downstream systems can safely handle concurrent traffic. Serial processing waits for each request to finish before starting the next. Browser sessions and manual approvals are unrelated to backend performance. Parallel independent requests is therefore the correct answer because concurrency can improve response time for independent operations. Architects should still respect API limits downstream capacity and transaction ordering requirements because excessive parallelism can create throttling or resource contention.<\/span><\/p>\n<p><b>Q387. Which mechanism helps a consumer detect that it is receiving an unsupported media format<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Record owner validation<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Content type validation<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Dashboard refresh<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Report scheduling<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. Content type validation<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Content type validation confirms that an incoming or outgoing payload uses a media format the consumer understands such as the expected JSON representation. Record ownership does not describe message format. Dashboard refresh and report scheduling are unrelated. Content type validation is therefore the correct answer because attempting to parse an unexpected format can cause errors or incorrect processing. Architects should define supported media types clearly and reject unsupported formats with a useful response rather than attempting to interpret unknown content automatically.<\/span><\/p>\n<p><b>Q388. Which design best reduces coupling when a producer should not know the physical location of a consumer<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Hard code consumer hostnames<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Share database tables<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Logical endpoint resolution<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Store addresses in source code<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. Logical endpoint resolution<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Logical endpoint resolution allows producers to reference a stable logical service name while infrastructure or configuration determines the actual physical destination. Hard coded hostnames and source code addresses tightly couple the producer to deployment details. Shared database tables create a different form of strong coupling. Logical endpoint resolution is therefore the correct answer because consumers can move between hosts regions or providers without forcing every producer to change. Architects should govern endpoint mappings and secure configuration changes so routing remains controlled and auditable.<\/span><\/p>\n<p><b>Q389. Which practice best protects integrations from using revoked OAuth tokens indefinitely<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Disable token validation<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Cache tokens forever<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Share one token across all clients<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Token lifecycle validation<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4. Token lifecycle validation<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Token lifecycle validation ensures that access tokens are checked for validity expiration and revocation rather than assumed to remain usable indefinitely. Disabling validation weakens security. Caching tokens forever ignores expiration and revocation. Sharing one token across clients reduces accountability and increases exposure. Token lifecycle validation is therefore the correct answer because OAuth credentials should have controlled lifetimes and be refreshed or replaced according to policy. Architects should also monitor repeated authentication failures because they can indicate expired credentials revoked access or incorrect token handling.<\/span><\/p>\n<p><b>Q390. Which approach is best when an integration should process only data created after a known timestamp<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> High water mark<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Full reload<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Random record selection<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Manual filtering<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. High water mark<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A high water mark records the latest successfully processed point and allows subsequent integration runs to request data after that point. Full reload repeatedly moves previously processed information. Random selection cannot guarantee completeness. Manual filtering does not provide a reliable automated synchronization method. High water mark is therefore the correct answer because incremental processing can significantly reduce data movement and processing cost. Architects should update the high water mark only after successful processing and account for timing boundaries so records are not missed during failures or overlapping transactions.<\/span><\/p>\n<p><b>Q391. Which control best protects an integration when a downstream dependency starts returning unusually slow responses<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Unlimited waiting<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Remove timeout settings<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Request timeout<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Increase user permissions<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. Request timeout<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A request timeout limits how long the integration waits for a downstream dependency before treating the attempt as unsuccessful. Unlimited waiting and removed timeout settings can tie up resources for excessive periods. Increasing permissions does not solve response latency. Request timeout is therefore the correct answer because every synchronous dependency should have a defined maximum waiting period. Architects should choose values based on business expectations and combine timeouts with appropriate retry circuit breaker or asynchronous recovery patterns depending on the operation.<\/span><\/p>\n<p><b>Q392. Which design is best when a consumer must process a consistent snapshot of data taken at one point in time<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Random record reads<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Snapshot extraction<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Continuous conflicting updates<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Browser export<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. Snapshot extraction<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Snapshot extraction captures a consistent set of data representing a defined point in time. Random record reads can produce a mixture of states when source data changes during extraction. Continuous conflicting updates make consistency harder to preserve. Browser export is not an enterprise integration pattern. Snapshot extraction is therefore the correct answer when reporting reconciliation or downstream processing requires a stable data view. Architects should define snapshot timing storage duration and whether later incremental changes will be applied after the initial snapshot has been successfully consumed.<\/span><\/p>\n<p><b>Q393. Which practice best supports replacing one message broker with another in the future<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Use broker specific code everywhere<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Expose proprietary details to all clients<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Remove interface documentation<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Broker abstraction<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4. Broker abstraction<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Broker abstraction hides vendor specific messaging details behind a stable integration interface. Using proprietary code throughout every producer and consumer increases migration effort. Exposing broker details creates direct dependencies. Removing documentation makes replacement even harder. Broker abstraction is therefore the correct answer because message transport infrastructure may change while business producers and consumers should remain focused on agreed contracts. Architects should avoid excessive abstraction that adds no value but should isolate broker specific connection configuration and operational behavior when future portability is an important requirement.<\/span><\/p>\n<p><b>Q394. Which design best prevents an integration from overwriting newer Salesforce data with an older source value<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Disable timestamps<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Compare version information<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Always trust incoming data<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Ignore modification order<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. Compare version information<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Comparing version information allows the integration to determine whether an incoming update is based on an older state than the current Salesforce record. Disabling timestamps or ignoring modification order removes useful conflict information. Always trusting incoming data can overwrite newer values with stale information. Compare version information is therefore the correct answer because concurrent distributed updates require a way to detect stale writes. Architects should define which version or modification indicator is authoritative and how detected conflicts should be rejected reconciled or routed for manual review.<\/span><\/p>\n<p><b>Q395. Which strategy best protects a critical synchronous integration when an optional downstream service is unavailable<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Graceful degradation<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Fail every transaction<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Block indefinitely<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Delete the request<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. Graceful degradation<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Graceful degradation allows the core business process to continue with reduced optional functionality when a noncritical dependency is unavailable. Failing every transaction makes the optional service unnecessarily critical. Blocking indefinitely creates timeout and capacity problems. Deleting requests loses business work. Graceful degradation is therefore the correct answer because architects should distinguish mandatory dependencies from optional enhancements. The user or caller should receive a clear result indicating any unavailable optional capability and the integration should provide a recovery path if the missing information needs to be added later.<\/span><\/p>\n<p><b>Q396. Which testing approach best confirms that an integration rejects unauthorized operations correctly<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Performance testing only<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Report testing<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Negative security testing<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Dashboard testing<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. Negative security testing<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Negative security testing deliberately attempts operations using missing invalid or insufficient authorization to confirm that the integration rejects them correctly. Performance tests measure capacity rather than access control. Report and dashboard testing do not validate API authorization. Negative security testing is therefore the correct answer because security design must be verified against prohibited actions as well as successful authenticated requests. Architects should test different identities scopes permissions and endpoint operations to make sure excessive access is not accidentally available.<\/span><\/p>\n<p><b>Q397. Which metric best indicates the proportion of integration requests rejected because of traffic limits<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Record count<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Throttling rate<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Dashboard count<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> User login count<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 2. Throttling rate<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Throttling rate measures the proportion or number of requests delayed or rejected because configured traffic limits have been reached. Record count dashboard count and user login count do not describe rate limiting behavior. Throttling rate is therefore the correct answer because a rising value can indicate increased demand inefficient client behavior or limits that no longer match business requirements. Architects should review throttling rate together with throughput latency and API consumption before deciding whether to adjust capacity or client request patterns.<\/span><\/p>\n<p><b>Q398. Which approach best protects an integration from a downstream service that returns corrupted but structurally valid values<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Trust every successful response<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Disable validation<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Check only HTTP status<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Business rule validation<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 4. Business rule validation<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Business rule validation checks whether returned values make sense according to expected business constraints even when the response is technically well formed. Trusting every successful response or checking only status codes can allow invalid business values into Salesforce. Disabling validation increases that risk. Business rule validation is therefore the correct answer because syntactically valid data can still contain impossible dates invalid amounts unsupported statuses or inconsistent relationships. Architects should define critical validation rules close to the integration boundary and provide clear exception handling when a response violates them.<\/span><\/p>\n<p><b>Q399. Which architecture approach best improves availability when one integration runtime instance fails<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Single runtime only<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Manual restart dependency<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Redundant runtime instances<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Disable health checks<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 3. Redundant runtime instances<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Redundant runtime instances allow processing to continue when one integration runtime becomes unavailable. A single runtime creates a single point of failure. Manual restart dependency increases recovery time. Disabling health checks prevents automated detection of failed instances. Redundant runtime instances is therefore the correct answer because critical integration services should avoid depending on one process or server. Architects should also ensure shared state queues and routing are designed so another healthy instance can take over work without creating duplicates or losing transactions.<\/span><\/p>\n<p><b>Q400. Which governance artifact best documents expected availability latency and support commitments for an integration service<\/b><\/p>\n<ol>\n<li><b><\/b><span style=\"font-weight: 400;\"> Service level agreement<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Browser settings guide<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Dashboard theme<\/span><\/li>\n<li><b><\/b><span style=\"font-weight: 400;\"> Report folder policy<\/span><\/li>\n<\/ol>\n<p><b>Correct Answer: 1. Service level agreement<\/b><\/p>\n<p><b>Explanation<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A service level agreement documents measurable service expectations such as availability response time support commitments and sometimes recovery requirements. Browser settings dashboard themes and report folder policies do not define integration service performance obligations. Service level agreement is therefore the correct answer because producers consumers and operational teams need a shared understanding of expected service behavior. Architects should ensure stated targets are measurable and supported by monitoring so actual performance can be compared with the agreed objectives and recurring violations can be investigated systematically.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>View Full Salesforce Certified Integration Architect Exam Dumps and Practice Test Dumps. Q381. Which REST API feature should a client use to retrieve the next set of records from a large query Static Resource nextRecordsUrl Dashboard filter Report folder Correct Answer: 2. nextRecordsUrl Explanation nextRecordsUrl provides the location for retrieving the next portion of Salesforce [&hellip;]<\/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\/24734"}],"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=24734"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24734\/revisions"}],"predecessor-version":[{"id":24735,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/24734\/revisions\/24735"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=24734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=24734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=24734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}