[05/Androscoggin/2]

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Questions and Answers

What should be included in the database query when starting with a data source?

Only instance variables
GSR variables only
Only client variables
Client and instance variables (correct)

Why is it important to filter for gsr_client and gsr_inst in a query?

To simplify the query process
To match expected numbers (correct)
To ensure the data source is correctly identified
To increase the complexity of the query

What might cause the numbers from a database query to not match expectations?

Including irrelevant data sources
Not including client and instance variables (correct)
Using too many filters
Querying a single instance only

What additional filters may be necessary depending on the use case?

gsr_sdts or gsr_ldts (D) Signup and view all the answers

What does the potential access of an API user to multiple instances imply?

The user can retrieve data across different instances (C) Signup and view all the answers

Match the following elements related to starting a database query with their descriptions:

data source = Foundation for query execution client variables = Identifies the specific client instance variables = Denotes the relevant instance additional filters = Refine results based on specific use case Signup and view all the answers

Match the following terms with their significance in a database query:

gsr_client = Filters for specific client access gsr_inst = Filters for the relevant instance gsr_sdts = Conditional filter based on use case gsr_ldts = Alternative filter based on use case Signup and view all the answers

Match the following aspects of API user access with their implications:

multiple instances = Allows varied data retrieval sources filtering necessity = Prevent irrelevant data confusion expectations mismatch = Arises from unfiltered queries data alignment = Essential for accurate reporting Signup and view all the answers

Match the following phrases about query components with their relevance:

starting point = Initial stage of data retrieval client instance relationship = Affects data validity filter requirements = Determines query outcome accuracy data alignment importance = Ensures results meet expectations Signup and view all the answers

Match the following query elements to their roles:

database query = Overarching structure for data requests api user = Potential to access multiple instances gsr_sdts filter = Use case dependent exclusion gsr_ldts filter = Alternative condition for query precision Signup and view all the answers

Flashcards

Data Source

The initial step when starting a data analysis task. It involves defining the source of information, typically a database query.

Client and Instance Variables

Variables specific to a client or instance that are included in the query. This helps identify the particular client and instance being analyzed.

API User Access to Multiple Instances

An API user may have access to information from multiple instances. Limiting the data to the relevant instance helps ensure accurate results.

Filtering for Client and Instance

The query needs to include a filter for 'gsr_client' and 'gsr_inst' variables to specify the desired client and instance.

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Specific Data Variables (gsr_sdts/gsr_ldts)

Depending on the situation, additional variables like 'gsr_sdts' or 'gsr_ldts' may be needed. This helps accurately match expected numbers and ensure consistency.

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Study Notes

Data Source Initiation

Begin data analysis with a database query.
Incorporate client and instance variables into the query.
API users may access multiple instances.
Filter results by gsr_client and gsr_inst.
May also filter by gsr_sdts or gsr_ldts based on specific needs.
Omitting these filters can cause discrepancies between expected and actual results.
Starting with a data source is crucial.
Accuracy depends on proper filtering.