A data analyst is using AWS Glue to organize, cleanse, validate, and format a 200 GB dataset. Use Amazon CloudWatch subscriptions to get access to a real-time feed of logs and have the logs delivered to Amazon Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and Kibana.ĥ. Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Firehose to further push the data to Amazon Elasticsearch Service and Kibana.ĭ. Use the Amazon Kinesis Producer Library (KPL) agent on Amazon EC2 to collect and send data to Kinesis Data Streams to further push the data to Amazon Elasticsearch Service and visualize using Amazon QuickSight.Ĭ. Enable detailed monitoring on Amazon EC2, use Amazon CloudWatch agent to store logs in Amazon S3, and use Amazon Athena for fast, interactive log analytics.ī. Which method should the company use to collect and analyze the logs?Ī. The collection and analysis solution should be highly available with the ability to display new information with minimal delays. As part of the application testing process, a solution must be developed that analyzes logs from each Amazon EC2 instance to ensure that the application is working as expected after each deployment. A software company hosts an application on AWS, and new features are released weekly. ![]() Point both clusters to the same HBase root directory in the same Amazon S3 bucket.Ĥ. Create a secondary EMR HBase read-replica cluster in a separate Availability Zone. Create a primary EMR HBase cluster with multiple master nodes. Store the data on an EMR File System (EMRFS) instead of HDFS and enable EMRFS consistent view. Point both clusters to the same HBase root directory in the same Amazon S3 bucket.ĭ. Run two separate EMR clusters in two different Availability Zones. Point the HBase root directory to an Amazon S3 bucket.Ĭ. Create an EMR HBase cluster with multiple master nodes. Store the data on an EMR File System (EMRFS) instead of HDFS. Schedule automated snapshots using Amazon EventBridge.ī. Configure the EMR cluster with multiple master nodes. Use Spot Instances for core and task nodes and a Reserved Instance for the EMR master node. Which architectural pattern meets company’s requirements?Ī. The company wants a cost-effective solution to make its HBase data highly available. The company has over 5 TB of data stored on an Hadoop Distributed File System (HDFS). Amazon EMR is configured with a single master node. A real estate company has a mission-critical application using Apache HBase in Amazon EMR. Use Amazon Athena as a data source for Amazon QuickSight to create a business intelligence dashboard.ģ. Use Amazon Kinesis Data Streams to stream data to Amazon S3. ![]() Use Amazon Redshift as a data source for Amazon QuickSight to create a business intelligence dashboard.ĭ. Use Amazon Kinesis Data Firehose to stream data to Amazon Redshift. Use Amazon Redshift as a data source for Amazon QuickSight to create a business intelligence dashboard.Ĭ. ![]() Use Amazon Kinesis Data Streams to stream data to Amazon Redshift. Use Amazon Athena as a data source for Amazon QuickSight to create a business intelligence dashboard.ī. Use Amazon Kinesis Data Firehose to stream data to Amazon S3. Which solution meets the company’s requirements?Ī. The solution must provide a business intelligence dashboard that enables viewing of the top contributors to anomalies in stock prices. The solution should integrate complex, analytic queries running with minimal latency. The company requires that data be streamed directly into the data store, but also occasionally allows data to be modified using SQL. A financial services company needs to aggregate daily stock trade data from the exchanges into a data store. It will help you pass exam in easier way.ġ. We highly recommend you should take AWS Data Analytics Specialty DAS-C01 Actual Exam Version because it include real questions and highlighted answers are collected in our exam. Successful completion of the practice exam does not guarantee you will pass the certification exam as the actual exam is longer and covers a wider range of topics. Notes: Hi all, AWS Data Analytics Specialty Practice Exam Part 1 will familiarize you with types of questions you may encounter on the certification exam and help you determine your readiness or if you need more preparation and/or experience.
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