18 Questions
What is the main goal during the Discovery phase of Data Analytics Lifecycle?
Select methods based on hypotheses
What is a critical step during the Data Preparation phase of the Data Analytics Lifecycle?
Checking if there is enough good quality data
What is the primary purpose of Formulating Hypotheses in the Data Analytics process?
Identifying a logical structure for data analysis
Why is Data Exploration important in the Data Analytics Lifecycle?
To identify and document modeling assumptions
During which phase of the Data Analytics Lifecycle do you determine if you have enough information to draft an analytic plan?
Discovery
What is a key consideration when selecting methods during the Data Preparation phase?
Ensuring techniques and approach meet business objectives
In the Discovery phase of the Data Analytics Lifecycle, what is the primary goal for the analytic team?
Determine the needed transformations and assess data quality
When planning the ETL process, which approach typically loads raw data into the sandbox first and then performs transformations?
ELT (Extract, Load, and Transform)
During the Data Preparation phase, which of the following questions is most important to answer before building the model?
Do I have enough good quality data to start building the model?
Which of the following is NOT a useful tool for data transformation and cleansing during the Data Preparation phase?
Microsoft Excel
When conducting the Data Sponsor Interview during the Discovery phase, which of the following questions is the most important to ask?
Do I have enough information to draft an analytic plan and share it for peer review?
In the Data Exploration phase, which of the following activities is the most important to perform before formulating hypotheses?
Recognize the data thoroughly and understand its structure
Which of the following is the primary goal of the Discovery phase in the Data Analytics Lifecycle?
To capture the essence of the predictors and leverage dimensionality reduction techniques
What is the main purpose of engaging with stakeholders and domain experts during the Discovery phase?
To capture the key predictors and ensure the model aligns with business needs
Which of the following is a key consideration during the Data Preparation phase of the Data Analytics Lifecycle?
Developing data sets for testing, training, and production purposes
Which of the following is a crucial step in the Model Planning phase of the Data Analytics Lifecycle?
Determining if the analyst has a good idea about the type of model to try and refining the analytic plan accordingly
What is the primary purpose of the Data Exploration phase in the Data Analytics Lifecycle?
To assess the quality and suitability of the available data for building the model
Which of the following is a key consideration during the Model Building phase of the Data Analytics Lifecycle?
Establishing the best environment for building models and workflows, including fast hardware and parallel processing
Test your knowledge on Discovery, Work space for the analytic team, Operationalize, and Results stages of the ETL (Extract, Transform & Load) process. Check your understanding of data quality assessment, data structuring, and deriving statistically useful measures.
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