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NEW QUESTION: 1
A developer is writing an application that will process data delivered into an Amazon S3 bucket. The data is delivered approximately 10 times a day, and the developer expects the data will be processed in less than 1 minute, on average.
How can the developer deploy and invoke the application with the lowest cost and lowest latency?
A. Deploy the application as an AWS Lambda function and invoke it with an S3 event notification
B. Deploy the application as an AWS Lambda function and invoke it with an Amazon CloudWatch scheduled event
C. Deploy the application onto an Amazon EC2 instance and have it poll the S3 bucket for new objects.
D. Deploy the application as an AWS Lambda function and invoke it with an Amazon CloudWatch alarm triggered by an S3 object upload
Answer: D
Explanation:
Reference:
https://docs.aws.amazon.com/lambda/latest/dg/with-s3.html
NEW QUESTION: 2
How do you create a shared table definition from the DataStage client?
A. Use the shared table creation wizard from the repository window
B. Use the save button on the columns tab of the stage editor
C. It cannot be done within the DataStage client. Use the InfoSphere Metadata Asset Manager (IMAM) utility instead.
D. Do nothing. They are created automatically when table definitions are imported
Answer: A
NEW QUESTION: 3
You want to build a managed Hadoop system as your data lake. The data transformation process is composed of a series of Hadoop jobs executed in sequence. To accomplish the design of separating storage from compute, you decided to use the Cloud Storage connector to store all input data, output data, and intermediary data. However, you noticed that one Hadoop job runs very slowly with Cloud Dataproc, when compared with the on-premises bare-metal Hadoop environment (8-core nodes with 100-GB RAM).
Analysis shows that this particular Hadoop job is disk I/O intensive. You want to resolve the issue. What should you do?
A. Allocate sufficient persistent disk space to the Hadoop cluster, and store the intermediate data of that particular Hadoop job on native HDFS
B. Allocate sufficient memory to the Hadoop cluster, so that the intermediary data of that particular Hadoop job can be held in memory
C. Allocate additional network interface card (NIC), and configure link aggregation in the operating system to use the combined throughput when working with Cloud Storage
D. Allocate more CPU cores of the virtual machine instances of the Hadoop cluster so that the networking bandwidth for each instance can scale up
Answer: A
Explanation:
Its google recommended approach to use LocalDisk/HDFS to store Intermediate result and use Cloud Storage for initial and final results.
NEW QUESTION: 4
What happens if you hold a Provisional License and you are convicted three times for speeding?
A. Your driving privilege will be suspended
B. You will be required to drive supervised by a licensed adult driver
C. You will be sent a warning letter
Answer: A
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