1. ASU - CIS394z - Cloud Analytics AWS3 - Module
2
1. A data scientist writes a program that applies rule-based logic to customer profile data
to determine which customers are likely to respond to an advertisement. How would
you categorize this type of analysis?
Preventive analytics Machine learning
(ML) Traditional analytics
Artificial intelligence (AI): Traditional analytics
2. Which statement describes a key factor to design an effective decision-mak- ing
infrastructure?
The designer should start with the business problem to be solved and then build
the pipeline that suits that use case.
Every data pipeline should follow the same pattern of tasks and move directly from ingestion to storage to
processing and then to analysis and visualization, sequentially.
The design should prevent data from being transformed as it moves through the
pipeline.
The designer should focus on collecting data and building a pipeline that can be
used for all of the analytics in the organization.: The designer should start with the business problem to be solved and
then build the pipeline that suits that use case
3. A customer wants to create a website that highlights cars only. Because there are many
different cars, the customer plans to train a model by showing it numerous pictures
that are labeled as cars and letting it learn to identify unlabeled pictures as cars. Which
data science approach could accomplish this task?
1/
4
2
1. A data scientist writes a program that applies rule-based logic to customer profile data
to determine which customers are likely to respond to an advertisement. How would
you categorize this type of analysis?
Preventive analytics Machine learning
(ML) Traditional analytics
Artificial intelligence (AI): Traditional analytics
2. Which statement describes a key factor to design an effective decision-mak- ing
infrastructure?
The designer should start with the business problem to be solved and then build
the pipeline that suits that use case.
Every data pipeline should follow the same pattern of tasks and move directly from ingestion to storage to
processing and then to analysis and visualization, sequentially.
The design should prevent data from being transformed as it moves through the
pipeline.
The designer should focus on collecting data and building a pipeline that can be
used for all of the analytics in the organization.: The designer should start with the business problem to be solved and
then build the pipeline that suits that use case
3. A customer wants to create a website that highlights cars only. Because there are many
different cars, the customer plans to train a model by showing it numerous pictures
that are labeled as cars and letting it learn to identify unlabeled pictures as cars. Which
data science approach could accomplish this task?
1/
4
