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?

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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?

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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?

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14
Q

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

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15
Q

What is Amazon QuickSight?

A
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16
Q

What does Amazon QuickSight integrate with?

17
Q

What are Dashboards & Analysis in QuickSight?

18
Q

What is AWS Glue?

19
Q

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

20
Q

What is the AWS Glue Data Catalog feature?

21
Q

What are AWS Glue Job Bookmarks?

22
Q

What are AWS Glue Elastic Views?

23
Q

What is AWS Glue DataBrew?

24
Q

What is AWS Glue Studio?

25
What is AWS Glue Streaming ETL?
26
What is AWS Lake Formation?
27
How does AWS Lake Formation work?
28
Why would you want to use AWS Lake Formation?
29
What is Kinesis Data Analytics for SQL applications?
30
What is the architecture for using Kinesis Data Analytics for SQL applications?
31
What is Kinesis Data Analytics for Apache Flink?
32
What is Amazon Managed Streaming for Apache Kafka (Amazon MSK)?
33
How does Amazon Managed Streaming for Apache Kafka work?
34
What is the difference between Kinesis Data Streams vs. Amazon MSK?
35
What are the most common types of MSK consumers?
36
Example Architecture: Big Data Ingestion Pipeline Requirements
37
Example Architecture: Big Data Ingestion Pipeline Architecture
38
Example Architecture: Big Data Ingestion Pipeline Summary