[04/Sileru/01]

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Which control table is responsible for managing the processing of incoming metadata batches and delivered models?

repo_core

Schema Overview control (correct)

repo_ruleengine

repo_scheduler

Which component provides the results of the rule engine in a 3NF model?

intf_metaloader

intf_ruleengine (correct)

intf_dataloader

intf_scheduler

Which component interfaces with the web user interface and REST API?

intf_ruleengine

intf_metaloader

intf_studio (correct)

intf_dataloader

Which component covers the execution of jobs on the MPP backend and progress of model generation?

info_scheduler Signup and view all the answers

Which Data Vault model is responsible for source metadata and some important data like client and instance definitions?

repo_core Signup and view all the answers

Which component is the interface to the metadata loader component?

intf_metaloader Signup and view all the answers

The intf_scheduler component interfaces with the web user interface and REST API.

True Signup and view all the answers

The repo_core model includes the Data Vault model for the rule engine and its results.

False Signup and view all the answers

The info_overview includes fully denormalized fact entities covering the execution of jobs on the MPP backend and progress of model generation.

False Signup and view all the answers

The intf_ruleengine interfaces with the rule-engine components and provides the results of the rule engine in a 3NF model.

True Signup and view all the answers

The repo_ruleengine model is responsible for managing the processing of incoming metadata batches and delivered models.

False Signup and view all the answers

The info_studio includes fact entities for additional dashboards.

True Signup and view all the answers

Match the following components with their respective responsibilities:

repo_core = Data Vault model for source metadata and important data intf_ruleengine = Interface to rule-engine components providing results in a 3NF model info_studio = Fact entities for additional dashboards intf_scheduler = Interface to the web user interface and REST API Signup and view all the answers

Match the following models with their associated responsibilities:

repo_ruleengine = Data Vault model for rule engine and its results info_overview = Fully denormalized fact entities for overview dashboard repo_core = Data Vault model for source metadata and some important data info_scheduler = Fully denormalized fact entities covering the execution of jobs on the MPP backend and progress of model generation Signup and view all the answers

Match the following interfaces with their corresponding components:

intf_dataloader = Interface to data loader component intf_metaloader = Interface to metadata loader component intf_ruleengine = Interface to rule-engine components providing results in a 3NF model intf_studio = Interface to the web user interface and REST API Signup and view all the answers

Match the following controls with their functions:

Schema Overview control = Control tables for managing incoming metadata batches and delivered models info_sources = Fact entities for source dashboards info_scheduler = Fully denormalized fact entities covering the execution of jobs on the MPP backend and progress of model generation repo_scheduler = Upcoming Signup and view all the answers

Match the following entities with their descriptions:

ldts = Incoming metadata batches sdts = Delivered models RDV+BV = Source metadata and some important data (e.g. client and instance definitions) fact entities = Data points representing business facts Signup and view all the answers

Match the following components with their areas of coverage:

info_overview = Overview dashboard execution of jobs on the MPP backend and progress of model generation info_studio = Additional dashboards intf_dataloader = Interface to data loader component intf_metaloader = Interface to metadata loader component Signup and view all the answers

[04/Sileru/01]

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Questions and Answers

Which control table is responsible for managing the processing of incoming metadata batches and delivered models?

Which component provides the results of the rule engine in a 3NF model?

Which component interfaces with the web user interface and REST API?

Which component covers the execution of jobs on the MPP backend and progress of model generation?

Which Data Vault model is responsible for source metadata and some important data like client and instance definitions?

Which component is the interface to the metadata loader component?

The intf_scheduler component interfaces with the web user interface and REST API.

The repo_core model includes the Data Vault model for the rule engine and its results.

The info_overview includes fully denormalized fact entities covering the execution of jobs on the MPP backend and progress of model generation.

The intf_ruleengine interfaces with the rule-engine components and provides the results of the rule engine in a 3NF model.

The repo_ruleengine model is responsible for managing the processing of incoming metadata batches and delivered models.

The info_studio includes fact entities for additional dashboards.

Match the following components with their respective responsibilities:

Match the following models with their associated responsibilities:

Match the following interfaces with their corresponding components:

Match the following controls with their functions:

Match the following entities with their descriptions:

Match the following components with their areas of coverage:

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