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NEW QUESTION: 1
In DynamoDB, could you use IAM to grant access to Amazon DynamoDB resources and API actions?
A. In DynamoDB there is no need to grant access
B. Depended to the type of access
C. Yes
D. No
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Amazon DynamoDB integrates with AWS Identity and Access Management (IAM). You can use AWS IAM to grant access to Amazon DynamoDB resources and API actions. To do this, you first write an AWS IAM policy, which is a document that explicitly lists the permissions you want to grant. You then attach that policy to an AWS IAM user or role.
Reference:
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/UsingIAMWithDDB.html

NEW QUESTION: 2
Consider a Parallel Job including a Join Stage with HASH partitioning algorithm followed by an Aggregator stage. Which of the following statements about the Aggregator stage partition algorithm is correct?about the Aggregator stage? partition algorithm is correct?
A. ROUND ROBIN ensures correct results
B. If the Aggregator groups on the same key column(s) as Join, SAME ensures groups of rows stays together
C. If the Aggregator groups on different key column(s) from Join, SAME ensures groups of rows stay together
D. If the Aggregator groups on the same key column(s) as Join, repartitioning must be done in order to have correct results
Answer: B

NEW QUESTION: 3
You are designing a data processing solution that will implement the lambda architecture pattern. The solution will use Spark running on HDInsight for data processing.
You need to recommend a data storage technology for the solution.
Which two technologies should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Azure Cosmos DB
B. Kafka HDInsight
C. Azure Storage Queue
D. Azure Service Bus
E. Apache Cassandra
Answer: A,B
Explanation:
To implement a lambda architecture on Azure, you can combine the following technologies to accelerate realtime big data analytics:
Azure Cosmos DB, the industry's first globally distributed, multi-model database service.
Apache Spark for Azure HDInsight, a processing framework that runs large-scale data analytics applications Azure Cosmos DB change feed, which streams new data to the batch layer for HDInsight to process The Spark to Azure Cosmos DB Connector E: You can use Apache Spark to stream data into or out of Apache Kafka on HDInsight using DStreams.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/lambda-architecture