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A data engineer needs to store semi-structured JSON logs from multiple microservices in a cost-effective manner for later analysis using Amazon Athena. The logs are generated continuously, and the total volume is about 1 TB per day. The data must be queryable within minutes of arrival. Which storage solution is most appropriate?
Amazon S3 with partitioned folders is the most appropriate solution because it provides a cost-effective, scalable storage layer for semi-structured JSON logs, and integrates natively with Amazon Athena for serverless querying. By partitioning the data by time (e.g., year/month/d…Read full explanation
A data engineer needs to audit all access to an S3 bucket for compliance. They want to capture object-level operations such as GetObject and PutObject, as well as bucket-level operations like ListBucket. Which AWS service should be used?
S3 server access logs record both object-level operations (e.g., GetObject, PutObject) and bucket-level operations (e.g., ListBucket). AWS CloudTrail can also capture S3 API calls, but by default it logs bucket-level management events only; object-level data events must be explic…Read full explanation
A company runs a real-time analytics platform using Amazon Kinesis Data Streams. The data is consumed by multiple consumers: one for real-time dashboard (using Lambda) and one for long-term storage (using Firehose to S3). The Kinesis stream has 10 shards. Each record is 1 KB, and the total incoming data rate is 5 MB/s. The Lambda consumer is falling behind and processing latency exceeds 10 seconds. Which TWO actions should be taken to resolve the issue?
Increasing the number of shards from 10 to 20 doubles the stream's read capacity, allowing the Lambda consumer to poll more data per second and reduce backlog. Option C is correct because enabling enhanced fan-out provides each consumer with a dedicated 2 MB/s read throughput per…Read full explanation
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