Data & Analytics Flashcards

1
Q

What is Amazon Athena?

A
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2
Q

How to get performance improvement using Amazon Athena?

A
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3
Q

What is the Federated Query feature in Amazon Athena?

A
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4
Q

What is Amazon Redshift?

A
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5
Q

What does a Redshift Cluster look like?

A
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6
Q

How do Snapshots and DR work in Redshift?

A
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7
Q

How do you ingest data into Redshift?

A
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8
Q

What is Redshift Spectrum feature?

A
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9
Q

What is the Amazon OpenSearch Service?

A
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10
Q

What are some common patterns for using OpenSearch?

DynamoDB

A
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11
Q

What are some common patterns for using OpenSearch?

CloudWatch Logs

A
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12
Q

What are some common patterns for using OpenSearch?

Kinesis Data Streams & Kinesis Data Firehose

A
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13
Q

What is Amazon EMR?

A
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14
Q

What are the node types and purchasing options in Amazon EMR?

A
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15
Q

What is Amazon QuickSight?

A
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16
Q

What does Amazon QuickSight integrate with?

A
17
Q

What are Dashboards & Analysis in QuickSight?

A
18
Q

What is AWS Glue?

A
19
Q

How do you use AWS Glue to convert data to Parquet format?

A
20
Q

What is the AWS Glue Data Catalog feature?

A
21
Q

What are AWS Glue Job Bookmarks?

A
22
Q

What are AWS Glue Elastic Views?

A
23
Q

What is AWS Glue DataBrew?

A
24
Q

What is AWS Glue Studio?

A
25
Q

What is AWS Glue Streaming ETL?

A
26
Q

What is AWS Lake Formation?

A
27
Q

How does AWS Lake Formation work?

A
28
Q

Why would you want to use AWS Lake Formation?

A
29
Q

What is Kinesis Data Analytics for SQL applications?

A
30
Q

What is the architecture for using Kinesis Data Analytics for SQL applications?

A
31
Q

What is Kinesis Data Analytics for Apache Flink?

A
32
Q

What is Amazon Managed Streaming for Apache Kafka (Amazon MSK)?

A
33
Q

How does Amazon Managed Streaming for Apache Kafka work?

A
34
Q

What is the difference between Kinesis Data Streams vs. Amazon MSK?

A
35
Q

What are the most common types of MSK consumers?

A
36
Q

Example Architecture: Big Data Ingestion Pipeline

Requirements

A
37
Q

Example Architecture: Big Data Ingestion Pipeline

Architecture

A
38
Q

Example Architecture: Big Data Ingestion Pipeline

Summary

A