{"id":13171,"date":"2026-09-16T06:44:48","date_gmt":"2026-09-16T06:44:48","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=13171"},"modified":"2026-09-16T07:22:03","modified_gmt":"2026-09-16T07:22:03","slug":"google-professional-cloud-devops-engineer-practice-test-questions-and-exam-dumps-part-19-q361-q380","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/google-professional-cloud-devops-engineer-practice-test-questions-and-exam-dumps-part-19-q361-q380\/","title":{"rendered":"Google Professional Cloud DevOps Engineer Practice Test Questions and Exam Dumps Part 19 Q361 – Q380"},"content":{"rendered":"

<\/h2>\n

View Full <\/b>Google Professional Cloud DevOps Engineer Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 361<\/b><\/h3>\n

Which Cloud Monitoring mechanism helps SRE teams detect fast and slow service level objective burn rates accurately?<\/b><\/p>\n

    \n
  1. Compute Engine serial port text log parsers<\/span><\/li>\n
  2. Cloud Storage bucket object versioning rules<\/span><\/li>\n
  3. Multi-window burn rate alerting policies<\/span><\/li>\n
  4. Billing budget threshold notification emails<\/span><\/li>\n<\/ol>\n

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

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

    Multi-window burn rate alerting policies evaluate service level objective consumption across multiple time frames simultaneously. This dual-window evaluation ensures that teams receive immediate alerts for severe, rapid error budget depletion while avoiding false positive notifications during minor, temporary fluctuations. By balancing sensitivity and specificity, SRE teams can respond quickly to genuine user-impacting outages without experiencing alert fatigue. Implementing advanced burn rate configurations strengthens overall incident management, preserves team trust in monitoring systems, and maintains high reliability standards across mission-critical cloud applications. Proactive metric evaluation supports sustainable operational health and continuous service availability.<\/span><\/p>\n

    Question 362<\/b><\/h3>\n

    What is the primary operational benefit of using blue-green deployment strategies in Google Cloud?<\/b><\/p>\n

      \n
    1. Zero-downtime releases achieved by routing traffic instantly between identical production environments<\/span><\/li>\n
    2. Deleting old container images automatically to reduce storage costs<\/span><\/li>\n
    3. Compiling Java application code binaries into serverless functions<\/span><\/li>\n
    4. Encrypting persistent disk storage volumes with customer-managed keys<\/span><\/li>\n<\/ol>\n

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

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

      Blue-green deployments eliminate deployment downtime by maintaining two identical production environments, designated blue and green. While one environment handles live user traffic, the new software version is deployed and thoroughly tested in the inactive environment. Once verification completes successfully, load balancers switch traffic routing instantly to the new environment. If issues arise, rollback is achieved just as quickly by redirecting traffic back to the original environment. This strategy minimizes user disruption, reduces deployment risk, and ensures high availability during software releases across complex enterprise applications running on cloud infrastructure.<\/span><\/p>\n

      Question 363<\/b><\/h3>\n

      Why should organizations migrate from legacy Container Registry to Artifact Registry on Google Cloud?<\/b><\/p>\n

        \n
      1. Artifact Registry requires manual virtual machine provisioning for storage management<\/span><\/li>\n
      2. Container Registry offers advanced vulnerability scanning and native multi-region repositories<\/span><\/li>\n
      3. Artifact Registry deletes container images nightly to save storage quotas<\/span><\/li>\n
      4. Artifact Registry provides native vulnerability scanning, secure multi-format package support, and regional redundancy<\/span><\/li>\n<\/ol>\n

        Correct Answer:<\/b> 4<\/b><\/p>\n

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

        Artifact Registry is the evolution of Container Registry, providing comprehensive support for container images and language packages such as Maven and npm within a single platform. It introduces advanced vulnerability scanning, Software Bill of Materials generation, and fine-grained IAM access controls at the repository level. Migrating to Artifact Registry ensures enhanced supply chain security, compliance adherence, and robust dependency governance. Managed multi-region repositories guarantee high availability and low-latency artifact retrieval for continuous integration pipelines and production deployment targets across enterprise environments, future-proofing software delivery workflows.<\/span><\/p>\n

        Question 364<\/b><\/h3>\n

        Which Network Intelligence Center feature helps identify overly permissive firewall rules across VPC networks?<\/b><\/p>\n

          \n
        1. Connectivity Tests static path analysis<\/span><\/li>\n
        2. Firewall Insights analytics and recommendations<\/span><\/li>\n
        3. Topology graphical traffic mapping<\/span><\/li>\n
        4. Packet Mirroring traffic capture tools<\/span><\/li>\n<\/ol>\n

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

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

          Network Intelligence Center Firewall Insights analyzes firewall rule logs and traffic patterns to identify shadow, redundant, or overly permissive rules that expose internal resources to unnecessary security risks. By surfacing actionable recommendations, Firewall Insights enables security administrators to tighten network perimeters and enforce the principle of least privilege without disrupting legitimate application traffic. Proactive rule optimization simplifies security audits, reduces attack surfaces, and ensures compliance with enterprise governance standards across multi-project cloud deployments, enhancing overall cloud network security posture effortlessly.<\/span><\/p>\n

          Question 365<\/b><\/h3>\n

          How do Cloud Logging exclusion filters optimize logging expenditure and storage quotas?<\/b><\/p>\n

            \n
          1. By deleting all historical logs every single hour<\/span><\/li>\n
          2. By encrypting log entries using external customer keys<\/span><\/li>\n
          3. By dropping matching noisy or unnecessary log entries before they are written to storage buckets<\/span><\/li>\n
          4. By converting raw logs into static PDF reports<\/span><\/li>\n<\/ol>\n

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

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

            Cloud Logging exclusion filters allow administrators to specify criteria to drop high-volume, low-value log entries\u2014such as routine health check pings or verbose debug messages\u2014before they consume billable storage space. Excluding unnecessary log data significantly reduces cloud monitoring expenditures while preserving essential operational and security telemetry. Careful filter design ensures that critical error events and audit logs are retained for compliance and troubleshooting. Optimizing log ingestion volumes improves operational efficiency and keeps log management costs manageable across large-scale enterprise microservice architectures.<\/span><\/p>\n

            Question 366<\/b><\/h3>\n

            What is a key architectural advantage of GKE Autopilot compared to GKE Standard clusters?<\/b><\/p>\n

              \n
            1. Fully managed node provisioning, scaling, and infrastructure maintenance handled entirely by Google<\/span><\/li>\n
            2. Manual configuration of individual virtual machine compute instances<\/span><\/li>\n
            3. Deleting all container pods whenever CPU utilization drops to zero<\/span><\/li>\n
            4. Restricting deployments exclusively to Java-based runtime environments<\/span><\/li>\n<\/ol>\n

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

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

              GKE Autopilot is a hands-off Kubernetes operating mode where Google manages the underlying cluster infrastructure, including node provisioning, patching, scaling, and security hardening. Developers deploy container workloads without needing to configure or manage virtual machine node pools. Autopilot automatically right-sizes resource allocations and bills only for the resources consumed by running pods, optimizing operational efficiency. This managed approach reduces administrative overhead, eliminates infrastructure management burdens, and lets engineering teams focus entirely on application development and business value delivery across cloud environments.<\/span><\/p>\n

              Question 367<\/b><\/h3>\n

              Why is state locking critical when multiple engineers collaborate using Terraform remote backends?<\/b><\/p>\n

                \n
              1. It compiles application source code into executable binary packages<\/span><\/li>\n
              2. It deletes unused virtual machine instances automatically<\/span><\/li>\n
              3. It calculates monthly cloud infrastructure billing invoices<\/span><\/li>\n
              4. It prevents concurrent modifications that could corrupt the infrastructure state file<\/span><\/li>\n<\/ol>\n

                Correct Answer:<\/b> 4<\/b><\/p>\n

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

                State locking mechanisms in remote backends, such as Google Cloud Storage, prevent simultaneous write operations by multiple engineers or CI\/CD pipelines. When a deployment or plan runs, a lock is acquired on the state file, blocking other concurrent executions until the operation completes. This safeguard prevents race conditions, conflicting resource provisions, and catastrophic state file corruption. Maintaining a reliable single source of truth for infrastructure metadata ensures safe collaboration across distributed development teams and preserves infrastructure stability during continuous integration workflows.<\/span><\/p>\n

                Question 368<\/b><\/h3>\n

                How does Secret Manager automatic rotation secure sensitive application credentials?<\/b><\/p>\n

                  \n
                1. By sharing plaintext passwords publicly via email notifications<\/span><\/li>\n
                2. By periodically generating and deploying new secret versions via Cloud Functions without manual intervention<\/span><\/li>\n
                3. By deleting old application logs every night<\/span><\/li>\n
                4. By routing database traffic through public HTTP proxies<\/span><\/li>\n<\/ol>\n

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

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

                  Secret Manager supports automated secret rotation by integrating with Cloud Functions or Cloud Run to periodically update sensitive credentials like database passwords or API keys. Automated rotation minimizes the window of vulnerability if a secret is compromised, fulfilling strict security compliance requirements. Applications retrieve the latest secret version seamlessly without downtime. Removing manual credential rotation tasks reduces administrative fatigue, prevents human error, and ensures continuous adherence to enterprise security baselines across distributed microservice architectures running on Google Cloud.<\/span><\/p>\n

                  Question 369<\/b><\/h3>\n

                  What is the primary function of Cloud Armor Adaptive Protection in web application security?<\/b><\/p>\n

                    \n
                  1. Compiling Java source code into container images<\/span><\/li>\n
                  2. Calculating monthly cloud billing invoice discounts<\/span><\/li>\n
                  3. Using machine learning to detect layer 7 DDoS attacks and recommend mitigation rules<\/span><\/li>\n
                  4. Encrypting persistent disk storage volumes<\/span><\/li>\n<\/ol>\n

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

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

                    Cloud Armor Adaptive Protection uses machine learning algorithms to continuously analyze incoming traffic baselines, identify anomalous layer 7 distributed denial-of-service attempts, and detect sophisticated application abuse. When suspicious patterns emerge, Adaptive Protection generates actionable security rule recommendations that operators can review and deploy quickly. This proactive defense capability protects web applications from evolving attack vectors that bypass static rate limits, ensuring high availability and seamless performance for legitimate users across global cloud deployments.<\/span><\/p>\n

                    Question 370<\/b><\/h3>\n

                    How does Service Directory assist microservices in hybrid and multi-cloud architectures?<\/b><\/p>\n

                      \n
                    1. By providing a managed, unified service registry catalog for secure endpoint discovery<\/span><\/li>\n
                    2. By deleting log files automatically from storage buckets<\/span><\/li>\n
                    3. By encrypting virtual machine persistent disks<\/span><\/li>\n
                    4. By routing all network traffic through local terminal consoles<\/span><\/li>\n<\/ol>\n

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

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

                      Service Directory acts as a managed service registry that provides a unified, highly available catalog for discovering and managing backend service endpoints across Google Cloud, hybrid on-premises, and multi-cloud environments. It enables microservices to locate and communicate with each other securely using up-to-date endpoint metadata. Centralized service discovery simplifies network configuration and improves application resiliency in complex distributed systems. Integrating service directory endpoints with traffic management tools ensures reliable routing and seamless integration across enterprise application portfolios without manual IP address maintenance.<\/span><\/p>\n

                      Question 371<\/b><\/h3>\n

                      What is the primary security advantage of configuring private worker pools in Cloud Build?<\/b><\/p>\n

                        \n
                      1. Storing build logs in unencrypted public storage buckets<\/span><\/li>\n
                      2. Compiling application source code without any encryption<\/span><\/li>\n
                      3. Sharing build artifacts across public repositories automatically<\/span><\/li>\n
                      4. Executing build pipelines securely within an organization’s private VPC network<\/span><\/li>\n<\/ol>\n

                        Correct Answer:<\/b> 4<\/b><\/p>\n

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

                        Cloud Build private worker pools allow organizations to execute continuous integration build pipelines within their own private VPC networks, ensuring builds have secure access to internal resources like databases, artifact repositories, and private GKE clusters. Private workers prevent sensitive source code and build traffic from traversing the public internet, satisfying strict corporate compliance and network security mandates. Isolating build environments protects proprietary intellectual property and prevents unauthorized external access, reinforcing defense-in-depth strategies across enterprise software delivery workflows.<\/span><\/p>\n

                        Question 372<\/b><\/h3>\n

                        How do Error Reporting notification channels improve incident response times for development teams?<\/b><\/p>\n

                          \n
                        1. By shutting down production workloads when error rates spike<\/span><\/li>\n
                        2. By sending instant alerts via mediums like Slack, PagerDuty, or email when new exception types appear<\/span><\/li>\n
                        3. By calculating monthly billing invoice totals for finance teams<\/span><\/li>\n
                        4. By deleting old log files from storage buckets<\/span><\/li>\n<\/ol>\n

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

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

                          Error Reporting notification channels automatically alert engineers via integrations like Slack, PagerDuty, email, or webhooks the moment a new or critical application exception occurs. Immediate notifications accelerate incident triage and reduce mean time to recovery by providing direct stack trace links and affected service versions. Automated alerting eliminates the need for manual log monitoring, ensuring engineering teams address software bugs proactively before user experience is severely impacted. Streamlining incident communication fosters rapid bug fixes and maintains high application reliability standards.<\/span><\/p>\n

                          Question 373<\/b><\/h3>\n

                          Why is mutual TLS (mTLS) configuration important in Anthos Service Mesh architectures?<\/b><\/p>\n

                            \n
                          1. It compiles application source code into binary containers<\/span><\/li>\n
                          2. It calculates monthly cloud billing invoice discounts<\/span><\/li>\n
                          3. It encrypts service-to-service communication and cryptographically verifies workload identities<\/span><\/li>\n
                          4. It deletes unused virtual machine instances automatically<\/span><\/li>\n<\/ol>\n

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

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

                            Mutual TLS in Anthos Service Mesh encrypts all service-to-service network traffic in transit and cryptographically verifies the identities of communicating microservices. Implementing mTLS ensures zero-trust security within cluster environments, protecting applications from eavesdropping, man-in-the-middle attacks, and unauthorized workload impersonation. The mesh handles certificate issuance and rotation automatically without requiring application code modifications. Enforcing strict transport security strengthens compliance posture and safeguards sensitive data flows across distributed cloud-native microservice architectures.<\/span><\/p>\n

                            Question 374<\/b><\/h3>\n

                            What is the role of attestation authorities in Binary Authorization policy enforcement?<\/b><\/p>\n

                              \n
                            1. Signing cryptographic proofs that verify container images meet security standards before deployment<\/span><\/li>\n
                            2. Compiling application source code files into executable binaries<\/span><\/li>\n
                            3. Rotating database connection passwords every single weekend<\/span><\/li>\n
                            4. Calculating monthly cloud usage billing invoices for finance teams<\/span><\/li>\n<\/ol>\n

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

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

                              Attestation authorities in Binary Authorization issue cryptographic signatures verifying that container images have successfully passed required security gates\u2014such as vulnerability scans and static code analysis\u2014before execution. GKE admission controllers validate these attestations against security policies prior to pod startup, ensuring unverified or tampered software never reaches production environments. This cryptographic enforcement secures the software supply chain, prevents unauthorized deployments, and maintains strict regulatory compliance across multi-project enterprise cloud deployments.<\/span><\/p>\n

                              Question 375<\/b><\/h3>\n

                              Which four key metrics form the core DORA framework for measuring software delivery performance?<\/b><\/p>\n

                                \n
                              1. CPU utilization, memory usage, disk I\/O, and network throughput<\/span><\/li>\n
                              2. Total revenue, customer acquisition cost, churn rate, and monthly active users<\/span><\/li>\n
                              3. Number of lines of code, commit frequency, pull request count, and developer headcount<\/span><\/li>\n
                              4. Deployment Frequency, Change Lead Time, Mean Time to Recovery, and Change Failure Rate<\/span><\/li>\n<\/ol>\n

                                Correct Answer:<\/b> 4<\/b><\/p>\n

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

                                The DORA framework evaluates software delivery and operational performance using four key metrics: Deployment Frequency, Change Lead Time, Mean Time to Recovery, and Change Failure Rate. Together, these metrics differentiate high-performing engineering teams from low performers, measuring both throughput speed and operational stability. Tracking these indicators helps organizations identify workflow bottlenecks, optimize CI\/CD pipelines, and implement effective automation safeguards to continuously improve software delivery velocity without compromising system reliability or security standards.<\/span><\/p>\n

                                Question 376<\/b><\/h3>\n

                                How do custom span annotations in Cloud Trace assist developers during distributed debugging?<\/b><\/p>\n

                                  \n
                                1. By deleting log files automatically from storage buckets<\/span><\/li>\n
                                2. By attaching contextual business data, user IDs, or custom metadata to specific trace segments<\/span><\/li>\n
                                3. By calculating monthly billing invoice discounts<\/span><\/li>\n
                                4. By routing network packets through local console windows<\/span><\/li>\n<\/ol>\n

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

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

                                  Custom span annotations allow developers to attach contextual key-value pairs\u2014such as customer identifiers, transaction IDs, or specific execution parameters\u2014to trace spans in Cloud Trace. These annotations provide rich debugging context, making it easier to filter traces and pinpoint the root cause of latency bottlenecks or errors across complex distributed microservice architectures. Enhanced tracing visibility accelerates incident resolution, improves system observability, and helps engineering teams understand exact request execution paths during troubleshooting sessions.<\/span><\/p>\n

                                  Question 377<\/b><\/h3>\n

                                  What is the primary function of recording rules in Managed Service for Prometheus?<\/b><\/p>\n

                                    \n
                                  1. Deleting historical log entries to save storage quotas<\/span><\/li>\n
                                  2. Executing local shell scripts for database backups<\/span><\/li>\n
                                  3. Precomputing expensive or frequently used query expressions and storing them as new time-series metrics<\/span><\/li>\n
                                  4. Compiling application source code binaries into container images<\/span><\/li>\n<\/ol>\n

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

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

                                    Recording rules in Managed Service for Prometheus allow operators to precompute frequently needed or computationally expensive expressions and save the results as new time-series metrics. Precomputing metrics accelerates dashboard loading times and simplifies complex alerting rule evaluations across large-scale GKE clusters. By reducing real-time query overhead, recording rules optimize monitoring performance and resource consumption. Integrating Prometheus recording rules with Cloud Monitoring ensures unified observability, enabling rapid anomaly detection and reliable performance tracking across container fleets.<\/span><\/p>\n

                                    Question 378<\/b><\/h3>\n

                                    How do Cloud Run concurrency settings influence serverless application scaling behavior?<\/b><\/p>\n

                                      \n
                                    1. By defining the maximum number of simultaneous requests a single container instance can handle<\/span><\/li>\n
                                    2. By deleting container instances when memory limits are reached<\/span><\/li>\n
                                    3. By compiling source code binaries into executable packages<\/span><\/li>\n
                                    4. By routing network traffic through unencrypted public proxies<\/span><\/li>\n<\/ol>\n

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

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

                                      Cloud Run concurrency settings define the maximum number of simultaneous requests that a single container instance can process at one time. Adjusting concurrency allows developers to optimize resource utilization and performance based on application threading models and workload characteristics. Higher concurrency maximizes resource efficiency for lightweight stateless applications, while lower concurrency ensures isolation for CPU-intensive tasks. Proper configuration balances compute resource scaling behavior, optimizes execution costs, and ensures stable application performance under varying traffic volumes across serverless architectures.<\/span><\/p>\n

                                      Question 379<\/b><\/h3>\n

                                      What is the primary purpose of configuring VPC Service Controls perimeter bridges?<\/b><\/p>\n

                                        \n
                                      1. Deleting unused firewall rules automatically<\/span><\/li>\n
                                      2. Calculating monthly billing invoice discounts for network usage<\/span><\/li>\n
                                      3. Compiling Java source code into container images<\/span><\/li>\n
                                      4. Allowing controlled communication and data sharing between two distinct security perimeters<\/span><\/li>\n<\/ol>\n

                                        Correct Answer:<\/b> 4<\/b><\/p>\n

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

                                        VPC Service Controls perimeter bridges allow organizations to establish authorized communication channels between two separate security perimeters, enabling secure data sharing without weakening overall data exfiltration protections. Perimeter bridges are essential for multi-project or multi-organization architectures that need to collaborate while maintaining strict regulatory compliance boundaries. Utilizing bridges ensures that sensitive data remains isolated from the public internet while permitting necessary inter-perimeter workflows, supporting robust enterprise security governance models across complex cloud deployments.<\/span><\/p>\n

                                        Question 380<\/b><\/h3>\n

                                        What is the ultimate goal of tracking action items generated from blameless postmortems?<\/b><\/p>\n

                                          \n
                                        1. To identify individual employees to blame for typing mistakes and terminate employment<\/span><\/li>\n
                                        2. To implement concrete preventive safeguards and architectural fixes ensuring the same failure never recurs<\/span><\/li>\n
                                        3. To hide failure metrics from executive stakeholders and customers permanently<\/span><\/li>\n
                                        4. To disable monitoring alerts so future outages go completely unnoticed<\/span><\/li>\n<\/ol>\n

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

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

                                          The primary objective of tracking action items generated from blameless postmortems is to implement concrete preventive safeguards, code refactoring, or architectural fixes ensuring that identified system failures never recur. Documenting and resolving these action items transforms operational failures into valuable engineering investments, steadily improving system resilience. Fostering a blameless culture encourages transparent incident reporting, ensuring teams focus on fixing systemic weaknesses rather than individuals, leading to stronger long-term reliability and reduced mean time to recovery across enterprise deployments.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Google Professional Cloud DevOps Engineer Exam Dumps and Practice Test Dumps.   Question 361 Which Cloud Monitoring mechanism helps SRE teams detect fast and slow service level objective burn rates accurately? Compute Engine serial port text log parsers Cloud Storage bucket object versioning rules Multi-window burn rate alerting policies Billing budget threshold notification […]<\/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\/13171"}],"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=13171"}],"version-history":[{"count":2,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/13171\/revisions"}],"predecessor-version":[{"id":13262,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/13171\/revisions\/13262"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=13171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=13171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=13171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}