6X336G - Collaboration and Workflows

Question 1

How do we manage users in the cloud pak for data environment?

Answer 1

You can approve sign up requests and add users to IBM Cloud Pak for Data from the Administer > Manage users page.

Question 2

Where are cloud pak for data users stored during the initial setup of environment?

Answer 2

They are stored in the internal repository database.

Question 3

Once our environment is setup, how should we manage our users in context of the repository database?

Answer 3

Make sure we grant cloud pak for data administrator privileges to a user in our ldap server and remove all users from the internal database repository.

Question 4

If we start to use more resources than we are entitle to, what are some options for us?

Answer 4

1. We can either license additional cores

2. Decrease the number of services that are running in your cloud pak for data cluster.

Question 5

Where can we observe resource allocation and software deployed on our clusters?

Answer 5

The web client.

Question 6

In what event do we need to create a diagnostic job in the cloud pak for data administration tool?

Answer 6

When a problem arises and we need to gather diagnostic information.

Question 7

How many different roles are there in IBM Cloud pak for data?

Answer 7

8

Question 8

In a typical workflow, what does the data scientist do?

Answer 8

1. Data Scientist requests data set.

Question 9

In a typical workflow, what does the data steward do?

Answer 9

1. Data steward approves data request.

Question 10

In a typical workflow, what does the data engineer do?

Answer 10

1. Data engineer fulfill data requests.

Question 11

In typical workflow, what does a data scientist do upon confirmation of a data engineers task?

Answer 11

1. A data scientist builds and publishes a model.

Question 12

In a typical workflow, what does the data steward do after a data scientist has created a model?

Answer 12

1. A data steward approves a model.

Question 13

What is a project in cloud pak for data?

Answer 13

An analytics project is how you organize your resources to work with data.

Question 14

What is a collaborator?

Answer 14

Are the people who you work with in your project.

Question 15

What are data assets?

Answer 15

Are what you work on, often consisting of raw data that you work with to refine.

Question 16

What are analytic assets?

Answer 16

Are what we create with tools to work on data.

Question 17

What are environments?

Answer 17

These are configured compute resources for running analyticsl assets.

Question 18

What are Jobs?

Answer 18

These are how we schedule the running of analytics assets.

Question 19

What are project documentation and notifiations?

Answer 19

These provide information on what is happening in a project.

Question 20

Define project storage.

Answer 20

Project storage is where project information and files are stored.

Question 21

What is a project integration?

Answer 21

These are how we incorporate external tools.

Question 22

What are project services?

Answer 22

These are how we add tools or processing power to projects.

Question 23

What are catalogs?

Answer 23

These provide tools to share assets between projects.

Question 24

What are the typical 4 steps of a workflow?

Answer 24

1. Request Data
2. Approve data request
3. Fulfill data request.
4. Build and publish a model.

Question 25

Describe the tasks of a data engineer?

Answer 25

1. A data engineer takes on the request of a data scientist for data.
2. He creates a connection to a data source.
3. Eventually he prepares the data to fulfill the request by cleaning and filtering it into ‘presentable’ format.

Question 26

Describe the role of a data scientist?

Answer 26

1. Creates a project.
2. Searches for data readily available
3. Makes a request to the data engineer for data.
4. Upon receipt of data, makes and designs models for use in projects.