{"id":13518,"date":"2026-09-16T09:30:10","date_gmt":"2026-09-16T09:30:10","guid":{"rendered":"https:\/\/www.examlabs.com\/certification\/?p=13518"},"modified":"2026-09-16T09:30:10","modified_gmt":"2026-09-16T09:30:10","slug":"amazon-aws-certified-data-engineer-associate-dea-c01-practice-test-questions-and-exam-dumps-part-1-q1-20","status":"publish","type":"post","link":"https:\/\/www.examlabs.com\/certification\/amazon-aws-certified-data-engineer-associate-dea-c01-practice-test-questions-and-exam-dumps-part-1-q1-20\/","title":{"rendered":"Amazon AWS Certified Data Engineer – Associate DEA-C01 Practice Test Questions and Exam Dumps Part 1 Q1-20"},"content":{"rendered":"

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View Full <\/b>Amazon AWS Certified Data Engineer – Associate DEA-C01 Exam Dumps<\/b><\/a> and Practice Test Dumps.<\/b><\/h2>\n

 <\/p>\n

Question 1<\/b><\/h3>\n

A company needs to store large amounts of structured and semi-structured data for analytics. The data must be queried using SQL, and the solution should support high-performance analytical workloads. Which AWS service is most appropriate?<\/b><\/p>\n

    \n
  1. Amazon DynamoDB<\/span><\/li>\n
  2. Amazon Redshift<\/span><\/li>\n
  3. Amazon S3 Glacier<\/span><\/li>\n
  4. Amazon ElastiCache<\/span><\/li>\n<\/ol>\n

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

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

    Amazon Redshift is a fully managed cloud data warehouse designed for large-scale analytical workloads. It supports SQL queries and is optimized for aggregations, reporting, business intelligence, and complex analytics. Redshift can work with structured and semi-structured data and integrates with several AWS analytics services. Amazon DynamoDB is a NoSQL database designed mainly for transactional workloads. Amazon S3 Glacier is intended for long-term archival storage, while Amazon ElastiCache provides in-memory caching. Therefore, Amazon Redshift is the most appropriate service when the primary requirement is a scalable, high-performance data warehouse for analytical queries.<\/span><\/p>\n

    Question 2<\/b><\/h3>\n

    A data engineer needs to collect streaming data from thousands of applications and devices and make the data available for real-time processing. Which AWS service should be used?<\/b><\/p>\n

      \n
    1. Amazon Kinesis Data Streams<\/span><\/li>\n
    2. Amazon RDS<\/span><\/li>\n
    3. AWS Glue Data Catalog<\/span><\/li>\n
    4. Amazon Athena<\/span><\/li>\n<\/ol>\n

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

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

      Amazon Kinesis Data Streams is designed to collect and process real-time streaming data at scale. It can continuously ingest events from applications, devices, websites, and other data producers. Consumers can process the records using applications or other AWS services. Amazon RDS is designed for relational database workloads, while AWS Glue Data Catalog stores metadata rather than ingesting streaming events. Amazon Athena is a serverless query service primarily used to analyze data stored in Amazon S3. Therefore, Kinesis Data Streams is the best choice for continuously collecting large volumes of streaming data that must be processed in real time.<\/span><\/p>\n

      Question 3<\/b><\/h3>\n

      A company stores CSV and JSON files in Amazon S3 and wants to run SQL queries directly against these files without loading them into a database. Which AWS service should the data engineer use?<\/b><\/p>\n

        \n
      1. Amazon Redshift<\/span><\/li>\n
      2. Amazon DynamoDB<\/span><\/li>\n
      3. Amazon Athena<\/span><\/li>\n
      4. Amazon Kinesis Data Firehose<\/span><\/li>\n<\/ol>\n

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

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

        Amazon Athena is a serverless interactive query service that allows users to analyze data stored directly in Amazon S3 using standard SQL. It supports formats including CSV, JSON, Parquet, and ORC. Athena does not require the data to be loaded into a separate database before queries can be executed. Amazon Redshift is a data warehouse, DynamoDB is a NoSQL database, and Amazon Data Firehose is primarily used for delivering streaming data to destinations. Therefore, Athena is the most appropriate choice when a data engineer needs to query files stored in Amazon S3 directly using SQL without first loading them into a database.<\/span><\/p>\n

        Question 4<\/b><\/h3>\n

        A data engineer needs a managed ETL service that can discover schemas, transform datasets, and prepare data for analytics. Which AWS service is most appropriate?<\/b><\/p>\n

          \n
        1. Amazon CloudWatch<\/span><\/li>\n
        2. AWS Glue<\/span><\/li>\n
        3. Amazon Route 53<\/span><\/li>\n
        4. AWS IAM<\/span><\/li>\n<\/ol>\n

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

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

          AWS Glue is a fully managed, serverless data integration and ETL service. It can discover data sources, identify schemas, transform datasets, and load processed data into target locations. Glue Crawlers can automatically discover metadata and populate the AWS Glue Data Catalog. Glue jobs can then perform transformations on datasets. Amazon CloudWatch is mainly used for monitoring and observability, Route 53 provides DNS services, and IAM manages authentication and authorization. Since the requirement specifically involves schema discovery, data transformation, and preparation for analytics, AWS Glue is the most appropriate service. It is widely used for building scalable AWS-based data integration and analytics workflows.<\/span><\/p>\n

          Question 5<\/b><\/h3>\n

          A company wants to organize metadata about datasets stored in Amazon S3 so that analytics services can discover table schemas and locations. Which AWS service should be used?<\/b><\/p>\n

            \n
          1. AWS Glue Data Catalog<\/span><\/li>\n
          2. Amazon SQS<\/span><\/li>\n
          3. Amazon EC2<\/span><\/li>\n
          4. Amazon ElastiCache<\/span><\/li>\n<\/ol>\n

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

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

            AWS Glue Data Catalog is a centralized metadata repository that stores information about data sources, tables, schemas, partitions, and data locations. It is commonly used with Amazon S3 and integrates with analytics services such as Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum. This allows analytics services to understand the structure and location of datasets without moving the actual data. Amazon SQS is a message queuing service, EC2 provides virtual computing capacity, and ElastiCache provides in-memory caching. Therefore, AWS Glue Data Catalog is the appropriate choice when the requirement is to maintain metadata and allow analytics services to discover S3-based datasets.<\/span><\/p>\n

            Question 6<\/b><\/h3>\n

            A company needs to transfer continuously arriving streaming data into Amazon S3 with minimal operational management. Which AWS service is best suited for this requirement?<\/b><\/p>\n

              \n
            1. Amazon RDS<\/span><\/li>\n
            2. Amazon Athena<\/span><\/li>\n
            3. Amazon DynamoDB<\/span><\/li>\n
            4. Amazon Data Firehose<\/span><\/li>\n<\/ol>\n

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

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

              Amazon Data Firehose is a fully managed service designed to deliver streaming data to destinations such as Amazon S3, Amazon Redshift, and Amazon OpenSearch Service. It handles many operational tasks automatically, including scaling, buffering, and delivery management. This makes it useful when an organization needs to continuously deliver streaming records without managing servers or complex infrastructure. Amazon RDS and DynamoDB are database services, while Athena is designed to query data rather than deliver streaming records. Therefore, Amazon Data Firehose is the best option when the requirement is to continuously transfer streaming data into Amazon S3 with minimal operational management.<\/span><\/p>\n

              Question 7<\/b><\/h3>\n

              A data engineer wants to improve the performance and reduce the cost of Amazon Athena queries against a large dataset stored in Amazon S3. Which file format is generally most appropriate?<\/b><\/p>\n

                \n
              1. CSV<\/span><\/li>\n
              2. JSON<\/span><\/li>\n
              3. Parquet<\/span><\/li>\n
              4. XML<\/span><\/li>\n<\/ol>\n

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

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

                Apache Parquet is a columnar storage format that is highly suitable for analytical workloads. When used with Amazon Athena, Parquet can reduce the amount of data that must be scanned because Athena can retrieve only the columns required by a query. This can improve query performance and reduce costs. CSV and JSON are commonly used row-based formats and may require more data to be scanned during analytical queries. XML is also not generally preferred for large-scale analytics. Therefore, converting appropriate datasets into Parquet can provide significant performance and cost benefits when querying data stored in Amazon S3 through Amazon Athena.<\/span><\/p>\n

                Question 8<\/b><\/h3>\n

                A company needs a highly scalable object storage service for building a data lake. Which AWS service should the data engineer select?<\/b><\/p>\n

                  \n
                1. Amazon S3<\/span><\/li>\n
                2. Amazon RDS<\/span><\/li>\n
                3. Amazon Neptune<\/span><\/li>\n
                4. Amazon ElastiCache<\/span><\/li>\n<\/ol>\n

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

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

                  Amazon S3 is a highly scalable object storage service commonly used as the foundation of AWS data lakes. It can store very large amounts of structured, semi-structured, and unstructured data. S3 also integrates with services such as Amazon Athena, AWS Glue, Amazon EMR, and Amazon Redshift, making it suitable for analytics architectures. Amazon RDS is a managed relational database service, Amazon Neptune is designed for graph workloads, and Amazon ElastiCache provides in-memory caching. Therefore, Amazon S3 is the most appropriate choice when a company needs scalable object storage for a data lake that can hold raw, processed, and analytical datasets.<\/span><\/p>\n

                  Question 9<\/b><\/h3>\n

                  A data engineer needs to coordinate multiple data processing steps and create a workflow where one task starts after another task completes. Which AWS service is most appropriate?<\/b><\/p>\n

                    \n
                  1. Amazon S3<\/span><\/li>\n
                  2. AWS Step Functions<\/span><\/li>\n
                  3. Amazon CloudFront<\/span><\/li>\n
                  4. Amazon Route 53<\/span><\/li>\n<\/ol>\n

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

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

                    AWS Step Functions is a serverless workflow orchestration service that allows data engineers to coordinate multiple tasks and AWS services. A workflow can define sequential steps, parallel processing, retries, error handling, and conditional logic. This makes Step Functions useful for coordinating ETL pipelines and other data processing workflows. Amazon S3 is object storage, CloudFront is a content delivery network, and Route 53 is a DNS service. Since the requirement is to coordinate multiple processing tasks and control their execution order, AWS Step Functions is the most suitable service. It can also integrate with services such as AWS Lambda, AWS Glue, and Amazon EMR.<\/span><\/p>\n

                    Question 10<\/b><\/h3>\n

                    A company needs to migrate data from an on-premises relational database to AWS continuously with minimal downtime. Which AWS service should be considered?<\/b><\/p>\n

                      \n
                    1. Amazon Athena<\/span><\/li>\n
                    2. AWS Glue<\/span><\/li>\n
                    3. Amazon QuickSight<\/span><\/li>\n
                    4. AWS Database Migration Service<\/span><\/li>\n<\/ol>\n

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

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

                      AWS Database Migration Service, commonly known as AWS DMS, is designed to migrate databases to AWS while minimizing downtime. It supports both homogeneous and heterogeneous migrations and can perform ongoing replication from a source database to a target database. This capability is especially useful when a company needs to keep the target database synchronized while the source system remains operational. Amazon Athena is used for querying data, AWS Glue provides data integration and ETL capabilities, and Amazon QuickSight is a business intelligence service. Therefore, AWS DMS is the most appropriate choice for continuously migrating relational database data to AWS with minimal disruption.<\/span><\/p>\n

                      Question 11<\/b><\/h3>\n

                      A data engineer wants to automatically discover the schema of files stored in Amazon S3 and create corresponding tables in the AWS Glue Data Catalog. Which feature should be used?<\/b><\/p>\n

                        \n
                      1. AWS Glue Crawler<\/span><\/li>\n
                      2. Amazon Athena Workgroup<\/span><\/li>\n
                      3. Amazon Redshift Spectrum<\/span><\/li>\n
                      4. Amazon SQS<\/span><\/li>\n<\/ol>\n

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

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

                        AWS Glue Crawlers are designed to automatically scan data stores such as Amazon S3 and identify the structure, schema, data types, and partitions of datasets. After discovering the information, the crawler can create or update metadata tables in the AWS Glue Data Catalog. This allows services such as Amazon Athena to query the datasets using the discovered metadata. Athena Workgroups are used to organize query execution and control settings, Redshift Spectrum provides querying of external data, and SQS is a messaging service. Therefore, an AWS Glue Crawler is the most appropriate feature for automatically discovering S3 data schemas and creating catalog metadata.<\/span><\/p>\n

                        Question 12<\/b><\/h3>\n

                        A company wants to perform serverless SQL queries against data stored in Amazon S3 and pay based primarily on the amount of data scanned by queries. Which service should be used?<\/b><\/p>\n

                          \n
                        1. Amazon RDS<\/span><\/li>\n
                        2. Amazon EMR<\/span><\/li>\n
                        3. Amazon Athena<\/span><\/li>\n
                        4. Amazon DynamoDB<\/span><\/li>\n<\/ol>\n

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

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

                          Amazon Athena is a serverless interactive query service that allows users to run SQL queries directly against data stored in Amazon S3. Athena does not require users to provision or manage database servers. Its pricing is primarily based on the amount of data scanned by queries, which makes data formats, partitioning, and compression important considerations for controlling costs. Amazon RDS is a managed relational database service, Amazon EMR provides managed big data processing clusters, and DynamoDB is a NoSQL database. Therefore, Amazon Athena is the best choice when an organization needs serverless SQL analysis of S3 data with usage-based query costs.<\/span><\/p>\n

                          Question 13<\/b><\/h3>\n

                          A data engineer needs to encrypt data stored in Amazon S3 using customer-managed encryption keys. Which AWS service should be used to create and manage the encryption keys?<\/b><\/p>\n

                            \n
                          1. AWS IAM<\/span><\/li>\n
                          2. AWS Key Management Service<\/span><\/li>\n
                          3. Amazon GuardDuty<\/span><\/li>\n
                          4. AWS CloudTrail<\/span><\/li>\n<\/ol>\n

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

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

                            AWS Key Management Service, or AWS KMS, allows organizations to create and manage cryptographic keys used to protect data. Amazon S3 can use AWS KMS keys for server-side encryption through SSE-KMS. KMS also provides controls for key policies, permissions, rotation options, and auditing through AWS services. IAM manages identities and permissions but does not function as the key management service. GuardDuty provides threat detection, while CloudTrail records API activity and account actions. Therefore, AWS KMS is the appropriate service when a data engineer needs customer-managed encryption keys to protect data stored in Amazon S3.<\/span><\/p>\n

                            Question 14<\/b><\/h3>\n

                            A company wants to analyze large datasets using distributed processing frameworks such as Apache Spark. Which AWS service is most appropriate?<\/b><\/p>\n

                              \n
                            1. Amazon EMR<\/span><\/li>\n
                            2. Amazon Route 53<\/span><\/li>\n
                            3. Amazon CloudFront<\/span><\/li>\n
                            4. Amazon SQS<\/span><\/li>\n<\/ol>\n

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

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

                              Amazon EMR is a managed cluster platform designed to run big data frameworks such as Apache Spark, Apache Hadoop, and other distributed processing technologies. It allows organizations to process and analyze very large datasets using scalable computing resources. EMR can integrate with Amazon S3 and other AWS services to build data processing pipelines. Route 53 is a DNS service, CloudFront is a content delivery network, and SQS is a message queuing service. Therefore, Amazon EMR is the most suitable option when a data engineer needs distributed processing capabilities using frameworks such as Apache Spark for large-scale data analysis.<\/span><\/p>\n

                              Question 15<\/b><\/h3>\n

                              A company wants to ensure that data stored in Amazon S3 is organized by date so that analytics queries can scan only the required data. Which technique should the data engineer use?<\/b><\/p>\n

                                \n
                              1. Data replication<\/span><\/li>\n
                              2. Data partitioning<\/span><\/li>\n
                              3. Data deduplication<\/span><\/li>\n
                              4. Data encryption<\/span><\/li>\n<\/ol>\n

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

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

                                Data partitioning organizes datasets into separate logical paths based on values such as date, region, or department. When data is partitioned appropriately in Amazon S3, query engines such as Amazon Athena can use partition pruning to avoid scanning unrelated data. This can improve query performance and reduce the amount of data scanned, which can also reduce Athena query costs. Data replication creates additional copies of data, encryption protects data, and deduplication removes duplicate records. Therefore, partitioning is the most appropriate technique when the goal is to organize S3 data efficiently and allow analytical queries to process only the relevant partitions.<\/span><\/p>\n

                                Question 16<\/b><\/h3>\n

                                A data engineer needs to monitor AWS resources and collect metrics and logs from data processing workloads. Which AWS service should be used?<\/b><\/p>\n

                                  \n
                                1. AWS CloudTrail<\/span><\/li>\n
                                2. Amazon CloudWatch<\/span><\/li>\n
                                3. AWS KMS<\/span><\/li>\n
                                4. Amazon Inspector<\/span><\/li>\n<\/ol>\n

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

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

                                  Amazon CloudWatch is a monitoring and observability service that collects metrics, logs, and other operational information from AWS resources and applications. Data engineers can use CloudWatch to monitor ETL jobs, track resource utilization, create alarms, and investigate operational issues. AWS CloudTrail focuses primarily on recording API activity and account actions. AWS KMS manages encryption keys, while Amazon Inspector is used to identify software vulnerabilities and security risks. Therefore, CloudWatch is the best choice when the requirement is to monitor AWS resources and collect operational metrics and logs from data processing workloads.<\/span><\/p>\n

                                  Question 17<\/b><\/h3>\n

                                  A company wants to provide business users with interactive dashboards and visualizations based on data stored in AWS services. Which AWS service should be used?<\/b><\/p>\n

                                    \n
                                  1. Amazon QuickSight<\/span><\/li>\n
                                  2. Amazon SQS<\/span><\/li>\n
                                  3. AWS Glue<\/span><\/li>\n
                                  4. Amazon EBS<\/span><\/li>\n<\/ol>\n

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

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

                                    Amazon QuickSight is a cloud-based business intelligence service that allows organizations to create interactive dashboards, visualizations, reports, and analytical insights. It can connect to various AWS data sources and can help business users understand trends and patterns without requiring them to manage analytics infrastructure. Amazon SQS is a messaging service, AWS Glue is used for data integration and ETL processing, and Amazon EBS provides block storage for EC2 instances. Therefore, Amazon QuickSight is the most appropriate service when the requirement is to provide business users with interactive dashboards and visual analytics based on organizational data.<\/span><\/p>\n

                                    Question 18<\/b><\/h3>\n

                                    A data engineer needs to capture API activity and user actions across an AWS account for auditing purposes. Which AWS service should be used?<\/b><\/p>\n

                                      \n
                                    1. Amazon CloudWatch<\/span><\/li>\n
                                    2. AWS CloudTrail<\/span><\/li>\n
                                    3. Amazon Athena<\/span><\/li>\n
                                    4. AWS Glue<\/span><\/li>\n<\/ol>\n

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

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

                                      AWS CloudTrail records API calls and account activity across AWS services. It can provide information about who performed an action, which service was accessed, when the action occurred, and other relevant event details. This makes CloudTrail particularly useful for security auditing, compliance investigations, operational troubleshooting, and tracking changes to AWS resources. CloudWatch focuses on monitoring metrics and logs, while Athena is used for querying data and Glue is primarily a data integration service. Therefore, AWS CloudTrail is the most appropriate service when a data engineer needs to capture and review AWS API activity and user actions for auditing purposes.<\/span><\/p>\n

                                      Question 19<\/b><\/h3>\n

                                      A company needs a highly durable storage solution for raw data that will be accessed regularly by analytics applications. Which Amazon S3 storage class is generally appropriate?<\/b><\/p>\n

                                        \n
                                      1. S3 Glacier Deep Archive<\/span><\/li>\n
                                      2. S3 Glacier Flexible Retrieval<\/span><\/li>\n
                                      3. S3 Standard<\/span><\/li>\n
                                      4. S3 One Zone-IA<\/span><\/li>\n<\/ol>\n

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

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

                                        Amazon S3 Standard is designed for frequently accessed data and provides high durability and availability. It is generally appropriate for raw datasets that analytics applications access regularly. S3 Glacier storage classes are designed primarily for archival data where access is less frequent and retrieval considerations are acceptable. S3 One Zone-IA is intended for infrequently accessed data that can tolerate storage in a single Availability Zone. Since the requirement specifies that the raw data will be accessed regularly by analytics applications, S3 Standard is the most appropriate storage class. The choice of storage class should always consider access frequency, availability requirements, retrieval needs, and cost.<\/span><\/p>\n

                                        Question 20<\/b><\/h3>\n

                                        A data engineer wants to prevent unauthorized users from accessing sensitive data stored in Amazon S3. Which AWS service is primarily used to manage identities and permissions?<\/b><\/p>\n

                                          \n
                                        1. AWS IAM<\/span><\/li>\n
                                        2. Amazon CloudWatch<\/span><\/li>\n
                                        3. Amazon Kinesis Data Streams<\/span><\/li>\n
                                        4. Amazon Athena<\/span><\/li>\n<\/ol>\n

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

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

                                          AWS Identity and Access Management, or IAM, allows organizations to control access to AWS resources by managing users, roles, policies, and permissions. IAM policies can define which actions identities are allowed or denied to perform on resources such as Amazon S3 buckets and objects. CloudWatch is used for monitoring, Kinesis Data Streams handles streaming data, and Athena is used for querying data. Therefore, IAM is the primary AWS service for managing identities and permissions and restricting unauthorized access to sensitive S3 data. Organizations can combine IAM with S3 bucket policies, encryption, logging, and other security controls for stronger data protection.<\/span><\/p>\n

                                           <\/p>\n","protected":false},"excerpt":{"rendered":"

                                          View Full Amazon AWS Certified Data Engineer – Associate DEA-C01 Exam Dumps and Practice Test Dumps.   Question 1 A company needs to store large amounts of structured and semi-structured data for analytics. The data must be queried using SQL, and the solution should support high-performance analytical workloads. Which AWS service is most appropriate? Amazon […]<\/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\/13518"}],"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=13518"}],"version-history":[{"count":1,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/13518\/revisions"}],"predecessor-version":[{"id":13557,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/posts\/13518\/revisions\/13557"}],"wp:attachment":[{"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/media?parent=13518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/categories?post=13518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.examlabs.com\/certification\/wp-json\/wp\/v2\/tags?post=13518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}