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Amazon BDS-C00 Practice Test - Questions Answers, Page 9

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Question 81

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A real-time bidding company is rebuilding their monolithic application and is focusing on serving real-time data. A large number of reads and writes are generated from thousands of concurrent users

Question 82

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A gas company needs to monitor gas pressure in their pipelines. Pressure data is streamed from sensors placed throughout the pipelines to monitor the data in real time. When an anomaly is detected,

Question 83

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A gaming organization is developing a new game and would like to offer real-time competition to their users. The data architecture has the following characteristics: The game application is writing

Question 84

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An organization has 10,000 devices that generate 10 GB of telemetry data per day, with each record size around 10 KB. Each record has 100 fields, and one field consists of unstructured log data with

Question 85

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An organization is designing a public web application and has a requirement that states all application users must be centrally authenticated before any operations are permitted. The organization wi

Related questions

A travel website needs to present a graphical quantitative summary of its daily bookings to website visitors for marketing purposes. The website has millions of visitors per day, but wants to control costs by implementing the least-expensive solution for this visualization. What is the most cost-effective solution?

Multiple rows in an Amazon Redshift table were accidentally deleted. A System Administrator is restoring the table from the most recent snapshot. The snapshot contains all rows that were in the table before the deletion. What is the SIMPLEST solution to restore the table without impacting users?

An organization currently runs a large Hadoop environment in their data center and is in the process of creating an alternative Hadoop environment on AWS, using Amazon EMR. They generate around 20 TB of data on a monthly basis. Also on a monthly basis, files need to be grouped and copied to Amazon S3 to be used for the Amazon EMR environment. They have multiple S3 buckets across AWS accounts to which data needs to be copied. There is a 10G AWS Direct Connect setup between their data center and AWS, and the network team has agreed to allocate

An organization is currently using an Amazon EMR long-running cluster with the latest Amazon EMR release for analytic jobs and is storing data as external tables on Amazon S3. The company needs to launch multiple transient EMR clusters to access the same tables concurrently, but the metadata about the Amazon S3 external tables are defined and stored on the long-running cluster. Which solution will expose the Hive metastore with the LEAST operational effort?

A customer has an Amazon S3 bucket. Objects are uploaded simultaneously by a cluster of servers from multiple streams of data. The customer maintains a catalog of objects uploaded in Amazon S3 using an Amazon DynamoDB table. This catalog has the following fileds: StreamName, TimeStamp, and ServerName, from which ObjectName can be obtained. The customer needs to define the catalog to support querying for a given stream or server within a defined time range. Which DynamoDB table scheme is most efficient to support these queries?

A gas company needs to monitor gas pressure in their pipelines. Pressure data is streamed from sensors placed throughout the pipelines to monitor the data in real time. When an anomaly is detected, the system must send a notification to open valve. An Amazon Kinesis stream collects the data from the sensors and an anomaly Kinesis stream triggers an AWS Lambda function to open the appropriate valve. Which solution is the MOST cost-effective for responding to anomalies in real time?

A company uses Amazon Redshift for its enterprise data warehouse. A new on-premises PostgreSQL OLTP DB must be integrated into the data warehouse. Each table in the PostgreSQL DB has an indexed last_modified timestamp column. The data warehouse has a staging layer to load source data into the data warehouse environment for further processing. The data lag between the source PostgreSQL DB and the Amazon Redshift staging layer should NOT exceed four hours. What is the most efficient technique to meet these requirements?

An organization is designing an application architecture. The application will have over 100 TB of data and will support transactions that arrive at rates from hundreds per second to tens of thousands per second, depending on the day of the week and time of day. All transaction data, must be durably and reliably stored. Certain read operations must be performed with strong consistency. Which solution meets these requirements?

A medical record filing system for a government medical fund is using an Amazon S3 bucket to archive documents related to patients. Every patient visit to a physician creates a new file, which can add up millions of files each month. Collection of these files from each physician is handled via a batch process that runs everу night using AWS Data Pipeline. This is sensitive data, so the data and any associated metadata must be encrypted at rest. Auditors review some files on a quarterly basis to see whether the records are maintained according to regulations. Auditors must be able to locate any physical file in the S3 bucket for a given date, patient, or physician. Auditors spend a significant amount of time location such files. What is the most cost- and time-efficient collection methodology in this situation?

A customer needs to determine the optimal distribution strategy for the ORDERS fact table in its Redshift schema. The ORDERS table has foreign key relationships with multiple dimension tables in this schema. How should the company determine the most appropriate distribution key for the ORDERS table?

Question 81

A real-time bidding company is rebuilding their monolithic application and is focusing on serving real-time data. A large number of reads and writes are generated from thousands of concurrent users who follow items and bid on the company's sale offers.

The company is experiencing high latency during special event spikes, with millions of concurrent users.

The company needs to analyze and aggregate a part of the data in near real time to feed an internal dashboard.

What is the BEST approach for serving and analyzing data, considering the constraint of the row latency on the highly demanded data?

Use Amazon Aurora with Multi Availability Zone and read replicas. Use Amazon ElastiCache in front of the read replicas to serve read-only content quickly.Use the same database as datasource for the dashboard.

Use Amazon DynamoDB to store real-time data with Amazon DynamoDB. Accelerator to serve content quickly. use Amazon DynamoDB Streams to replayall changes to the table, process and stream to Amazon Elasti search Servicewith AWS Lambda.

Use Amazon RDS with Multi Availability Zone. Provisioned IOPS EBS volume for storage. Enable up to five read replicas to serve read-only content quickly.Use Amazon EMR with Sqoop to import Amazon RDS data into HDFS foranalysis.

Use Amazon Redshift with a DC2 node type and a multi-mode cluster. Create an Amazon EC2 instance with pgpoo1 installed. Create an AmazonElastiCache cluster and route read requests through pgpoo1, and use Amazon Redshift for analysis.

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Question 82

Attach a Kinesis Firehose to the stream and persist the sensor data in an Amazon S3 bucket. Schedule an AWS Lambda function to run a query in AmazonAthena against the data in Amazon S3 to identify anomalies. When a change isdetected, the Lambda function sends a message to the anomaly stream to open the valve.

Launch an Amazon EMR cluster that uses Spark Streaming to connect to the Kinesis stream and Spark machine learning to detect anomalies. When achange is detected, the Spark application sends a message to the anomaly stream toopen the valve.

Launch a fleet of Amazon EC2 instances with a Kinesis Client Library application that consumes the stream and aggregates sensor data over time to identifyanomalies. When an anomaly is detected, the application sends a message tothe anomaly stream to open the valve.

Create a Kinesis Analytics application by using the RANDOM_CUT_FOREST function to detect an anomaly. When the anomaly score that is returned fromthe function is outside of an acceptable range, a message is sent to the anomaly stream to open the valve.

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Question 83

A gaming organization is developing a new game and would like to offer real-time competition to their users. The data architecture has the following characteristics:

The game application is writing events directly to Amazon DynamoDB from the user's mobile device.

Users from the website can access their statistics directly from DynamoDB.

The game servers are accessing DynamoDB to update the user's information.

The data science team extracts data from DynamoDB for various applications.

The engineering team has already agreed to the IAM roles and policies to use for the data science team and the application.

Which actions will provide the MOST security, while maintaining the necessary access to the website and game application? (Choose two.)

Use Amazon Cognito user pool to authenticate to both the website and the game application.

Use IAM identity federation to authenticate to both the website and the game application.

Create an IAM policy with PUT permission for both the website and the game application.

Create an IAM policy with fine-grained permission for both the website and the game application.

Create an IAM policy with PUT permission for the game application and an IAM policy with GET permission for the website.

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Question 84

An organization has 10,000 devices that generate 10 GB of telemetry data per day, with each record size around 10 KB. Each record has 100 fields, and one field consists of unstructured log data with a "String" data type in the English language. Some fields are required for the real-time dashboard, but all fields must be available for long-term generation.

The organization also has 10 PB of previously cleaned and structured data, partitioned by Date, in a SAN that must be migrated to AWS within one month. Currently, the organization does not have any real-time capabilities in their solution. Because of storage limitations in the on-premises data warehouse, selective data is loaded while generating the long-term trend with ANSI SQL queries through JDBC for visualization. In addition to the one-time data loading, the organization needs a cost-effective and real-time solution. How can these requirements be met? (Choose two.)

use AWS IoT to send data from devices to an Amazon SQS queue, create a set of workers in an Auto Scaling group and read records in batch from thequeue to process and save the data. Fan out to an Amazon SNS queue attachedwith an AWS Lambda function to filter the request dataset and save it to Amazon Elasticsearch Service for real-time analytics.

Create a Direct Connect connection between AWS and the on-premises data center and copy the data to Amazon S3 using S3 Acceleration. Use AmazonAthena to query the data.

Use AWS IoT to send the data from devices to Amazon Kinesis Data Streams with the IoT rules engine. Use one Kinesis Data Firehose stream attached to aKinesis stream to batch and stream the data partitioned by date. Use anotherKinesis Firehose stream attached to the same Kinesis stream to filter out the required fields to ingest into Elasticsearch for real-time analytics.

Use AWS IoT to send the data from devices to Amazon Kinesis Data Streams with the IoT rules engine. Use one Kinesis Data Firehose stream attached to aKinesis stream to stream the data into an Amazon S3 bucket partitioned bydate. Attach an AWS Lambda function with the same Kinesis stream to filter out the required fields for ingestion into Amazon DynamoDB for real-time analytics.

use multiple AWS Snowball Edge devices to transfer data to Amazon S3, and use Amazon Athena to query the data.

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Question 85

An organization is designing a public web application and has a requirement that states all application users must be centrally authenticated before any operations are permitted. The organization will need to create a user table with fast data lookup for the application in which a user can read only his or her own data. All users already have an account with amazon.com. How can these requirements be met?

Create an Amazon RDS Aurora table, with Amazon_ID as the primary key. The application uses amazon.com web identity federation to get a token that isused to assume an IAM role from AWS STS. Use IAM database authentication byusing the rds:db-tag IAM authentication policy and GRANT Amazon RDS row-level read permission per user.

Create an Amazon RDS Aurora table, with Amazon_ID as the primary key for each user. The application uses amazon.com web identity federation to get atoken that is used to assume an IAM role. Use IAM database authentication byusing rds:db-tag IAM authentication policy and GRANT Amazon RDS row-level read permission per user.

Create an Amazon DynamoDB table, with Amazon_ID as the partition key. The application uses amazon.com web identity federation to get a token that isused to assume an IAM role from AWS STS in the Role, use IAM condition context key dynamodb:LeadingKeys with IAM substitution variables $ {www.amazon.com:user_id} and allow the required DynamoDB API operations in IAM JSON policy Action element for reading the records.

Create an Amazon DynamoDB table, with Amazon_ID as the partition key. The application uses amazon.com web identity federation to assume an IAM rolefrom AWS STS in the Role, use IAM condition context key dynamodb:LeadingKeys with IAM substitution variables $ {www.amazon.com:user_id} and allow the required DynamoDB API operations in IAM JSON policy Action element for reading the records.

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