Y12 EC Data Science Wk3 L2 Review

Multiple Select

What are the success criteria for analyzing the impact of data scale?

• I can analyse the volume of raw data.

• I can analyse storage.

• I can analyse the use of real-time and continuous streaming.

• I can analyse the changes in human behaviour.

Multiple Select

What are the advantages and disadvantages of large data scale?

• Improved accuracy

• Greater detail

• Increased efficiency

• Data quality issues

Multiple Choice

What are the disadvantages of large volume raw data?

• Increased granularity

• Better predictions

• Storage and processing costs

• More comprehensive insights

Multiple Choice

What are the advantages of large volume raw data?

• More comprehensive insights

• Storage and processing costs

• Data quality issues

• Privacy concerns

Multiple Choice

What impact does the volume of data being stored have on data scale?

• It affects the amount of storage required

• It has no impact

• It only affects the speed of retrieval

• It only affects processing speed

Fill in the Blank

Real-time and continuous data streaming requires the processing and storage of a large volume of data in real time, which can be a significant challenge. This requires ___ computing resources, high-bandwidth networks, and scalable storage systems.

-

Multiple Select

What is required for efficient management of data scale in real-time streaming?

• High-performance computing resources

• Low bandwidth networks

• Scalable storage systems

• Manual data processing

Multiple Select

What are the challenges associated with real-time and continuous data streaming?

• Data overflow

• Slow performance

• Data loss

• High storage costs

Multiple Choice

example of real time data processing ?

• Recording historical data
• Monitoring stock prices and executing trades based on real-time market data
• Calculating monthly expenses
• Sending emails

Multiple Choice

Definition: Ability to accommodate larger amounts of data and/or more users as time progresses

• Scalability 
• Metadata
• Frequency
• Privacy

Multiple Choice

What challenges does the volume and variety of data pose for machine learning?

• Increased computing power requirements

• Lower data management costs

• Simplified data analysis

• Reduced data storage needs

Multiple Choice

What are the opportunities for machine learning (ML) in terms of data scale?

• Improving accuracy and efficiency

• Reducing data requirements

• Simplifying data management

• Increasing data variety

Multiple Choice

Big data has increased the demand for

• ethical scientists

• Information management specialists

• hackers

• innovators

Multiple Choice

What is the term for a collection of data so large and complex that it is difficult to store and process using traditional database software?

• Big data
• Relational data
• Unrelated data
• Spreadsheet data

Multiple Choice

How do changes in human behaviour impact data management strategies?

• They have no impact

• They only affect data collection

• They can drive fluctuations in data volume, variety, and velocity

• They simplify data management

Multiple Choice

What are the ethical implications of increasing data scale and the use of personal information?

• Data privacy and surveillance

• Informed consent

• Digital footprints

• All of the above

Multiple Choice

What is the purpose of the Agritech system adopted by GreenHarvest?

• To optimize crop production

• To reduce labor costs

• To increase crop variety

• To eliminate pests

Multiple Choice

______can be collected from various sources like newspapers, cameras, observations, surveys, questionnaires and so on.

• Elements

• Connectors

• Data

• Relations

Multiple Choice

What is meant by 'ground-truthing' in the context of data analysis in farming?

• Validating recommendations against yield maps

• Collecting data from the ground

• Using drones for data collection

• Analyzing soil samples

Multiple Choice

What are the benefits of high-frequency soil moisture and micro-weather data in farming?

• They reduce costs

• They improve spatial and temporal resolution

• They eliminate the need for data

• They simplify farming practices

Multiple Choice

How does the volume of raw data collected from sensors and drones affect the farm’s ability to make informed decisions?

• It has no effect

• It improves decision-making

• It complicates the process

• It reduces data accuracy

Multiple Choice

What benefits are associated with handling large volumes of data?

• Finer control

• Early warnings

• Experimentation at scale

• All of the above

Multiple Select

What are the potential challenges of handling large volumes of data as discussed in the image?

• Noise & drift

• Latency & bottlenecks

• Cost & complexity

• Data governance

Multiple Choice

The key goals of data governance include rules for data use, requirement compliance, high-quality data, and ________.

• server space

• cost reduction

• data scrubbing

• database objects

Multiple Select

What are the possible storage solutions for managing the large volumes of data collected on the farm?

• Cloud storage

• Local/on-farm storage

• External hard drives

• USB flash drives

Multiple Select

What are the advantages of cloud storage compared to local/on-farm storage in terms of scalability, latency, and cost?

• Cloud storage is limited by hardware

• Cloud storage has excellent real-time performance

• Cloud storage is pay-as-you-go

• Cloud storage has strong managed controls

Multiple Choice

How does real-time and continuous streaming of data influence decision-making processes on the farm?

• It allows for faster decisions

• It eliminates the need for data

• It reduces the number of workers

• It has no impact on decisions

Multiple Choice

What are the limitations of real-time and continuous streaming?

• False alarms & alert fatigue

• Connectivity dependence

• Cost

• All of the above

Multiple Select

What are the potential advantages and limitations of having access to continuous data streams?

• Timeliness

• Adaptive scheduling

• Operational efficiency

• Model stability

Multiple Choice

What are the applications of vision models on drone imagery?

• Detect nutrient deficiencies

• Create prescription maps

• Predict harvest dates

• All of the above

Multiple Select

What are the expected impacts of Machine Learning (ML) on agriculture?

• Higher yields

• Lower resource use

• Efficiency

• Increased labor costs

Open Ended

What does a data-driven culture in Agritech entail?

Multiple Choice

What are some potential negatives of over-reliance on automation in Agritech?

• Fewer manual checks

• Increased job satisfaction

• Better data analysis

• Improved safety measures

Multiple Select

How might the implementation of advanced Agritech systems change the behaviour of farm workers and management?

• Increase productivity

• Reduce costs

• Enhance communication

• Limit job opportunities

Multiple Select

What ethical concerns arise from the collection and use of data in Agritech?

• Privacy

• Data ownership & consent

• Secondary use & function creep

• Bias & inequity

Multiple Select

What are the key components of ethical practices regarding digital footprints?

• Informed consent

• Data ownership

• Transparency

• Security controls

Poll

How confident do you feel about this topic now?

• Very confident
• Somewhat confident
• Not confident