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D204 2024 NEWEST EXAM COMPLETE QUESTIONS WITH DETAILED VERIFIED ANSWERS ALREADY GRADED A+
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D204 2024 NEWEST EXAM COMPLETE QUESTIONS WITH DETAILED VERIFIED ANSWERS ALREADY GRADED A+
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D204 2024 NEWEST EXAM COMPLETEQUESTIONS WITH DETAILED VERIFIED
ANSWERS /ALREADY GRADED A+
Identifying business needs ✔✔Which activity does an analyst perform in the discovery phase of
the data analytics life cycle?
• Collecting Data
• Cleaning Data
• Identifying outliers
• Identifying business needs
Data Exploration ✔✔In which phase of the data analytics life cycle does an analyst build a
histogram?
• Data acquisition
• Data exploration
• Discovery
• Predictive modeling
Exploratory data analysis ✔✔An analyst applies a statistical formula to obtain the average
temperature for a city over the last 50 years. Which phase of the data analytics life cycle is
represented by this activity?
• Data acquisition
• Exploratory data analysis
• predictive modeling
• Data reporting
Detecting missing values ✔✔An analyst has been tasked with defining data columns that could
contain null values. Which activity of the data acquisition phase is represented?
• collecting data
, • disqualifying data sources
• detecting missing values
• transforming improperly formatted text
Cleaning Data ✔✔Which activity in the data analytics life cycle occurs during the data acquisition
phase and requires the most time and effort from the data analyst?
• selecting the data sources
• importing data into a database
• cleaning datadefining goals
The SQL queries of data within the tables ✔✔What might be developed by data analysts when
acquiring data from a data warehouse?
a.The procedures for extracting files from the data warehouse
• The procedures for updating tables in the data warehouse
• The relational structure of tables
• The SQL queries of data within the tables
Interquartile range ✔✔What can be identified using a box plot?
• frequency
• correlation
• interquartile range
• mean
The analyst will lack insight into the structure of the data set. ✔✔What will be a consequence of
poor attention to detail during the data exploration phase?
• Not enough variables will be considered in the analysis.
• The outcome of the analysis will be misaligned to business needs.
• The analyst will lack insight into the structure of the data set.
• The model will be built using the wrong data set.
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