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CompTIA DA0-001 (CompTIA Data+ Certification) Certification Exam is a vendor-neutral certification that validates the skills and knowledge required for a career in data management. DA0-001 exam is designed to test the candidate's ability to manage, maintain, and secure data in various formats and across different platforms.
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NEW QUESTION # 333
An employer needs to maintain adequate office staffing during the winter and wants to track storm data.
Which of the following data collection methods should the employer use?
Answer: C
Explanation:
For an employer looking to maintain adequate office staffing during winter while tracking storm data, the most effective method would be to use public databases. These databases often contain comprehensive records of weather patterns and storm data collected and verified by reputable meteorological organizations.
Utilizing public databases allows for access to historical and real-time data that is crucial for making informed decisions about staffing during adverse weather conditions.
Web scraping (A) is not the most reliable method, as it may involve extracting data from various websites that might not always provide verified or consistent information. Observations can be subjective and may not cover a wide enough area to be effective for decision-making on a larger scale. Weather surveys (D) could provide insights, but they are not as immediate or comprehensive as the data available in public databases.
References:
* The systematic review on Big Data Analytics in Weather Forecasting suggests that big data techniques and technologies can manage and analyze the huge volume of weather data from different resources, which supports the use of public databases1.
* NOAA's approach to detecting severe weather events using instruments and receiving information from storm spotters indicates the importance of reliable, collected data, which is typically stored in public databases2.
* The National Weather Service's use of observational data collected by various instruments, which are then fed into forecast models, further emphasizes the value of established data collection methods over individual observations or surveys3.
NEW QUESTION # 334
The director of operations at a power company needs data to help identify where company resources should be allocated in order to monitor activity for outages and restoration of power in the entire state. Specifically, the director wants to see the following:
* County outages
* Status
* Overall trend of outages
INSTRUCTIONS:
Please, select each visualization to fit the appropriate space on the dashboard and choose an appropriate color scheme. Once you have selected all visualizations, please, select the appropriate titles and labels, if applicable. Titles and labels may be used more than once.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
Answer:
Explanation:
Poweroutages
NEW QUESTION # 335
An analyst is working with the income data of suburban families in the United States. The data set has a lot of outliers, and the analyst needs to provide a measure that represents the typical income. Which of the following would BEST fulfill the analyst's goal?
Answer: C
NEW QUESTION # 336
A dataset requires an analysis for investigating and discovering abnormalities. Which of the following best describes the nature of the exploratory analysis conducted?
Answer: C
Explanation:
Exploratory Data Analysis (EDA) is a technique used to summarize the main characteristics of a dataset. It often involves using graphical representations and statistical summaries to uncover patterns, relationships, and anomalies in the data. Analysts perform EDA to detect outliers, missing values, and trends before proceeding with deeper data processing and modeling.
NEW QUESTION # 337
A data analyst needs to create a data visualization that aids in un the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data visualization methods should the analyst use?
Answer: A
NEW QUESTION # 338
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