CCEA A-Level Digital Technology 2650
Systems Analysis and Development Approaches
Design, Development and Testing
Implementation and System Security
Programming
Data, Information and Data Representation
Computer Architecture and Processing Systems
System Software, Application Software and the User Interface
Web Technology and Multimedia
Networks
Databases
Artificial Intelligence, Expert Systems and Robotics
Mobile Technology, Data Mining and Cloud Computing
Individual, Social and Legal Considerations
The Development Project: Analysis and Design
The Development Project: Build, Testing and Evaluation
Mobile Technology, Data Mining and Cloud Computing
- 12 subtopics
- 36 things to know
- A2 Unit 1
What Mobile Technology, Data Mining and Cloud Computing covers
Mobile Technology, Data Mining and Cloud Computing is examined in Unit A2 1, Information Systems. It covers cells, masts and frequency reuse, handoff between cells, the base station controller, the mobile switching centre and the PSTN, what data mining is, gathering and storing data for mining, processing and analysing large volumes of data, big data in health, finance and retail, data mining and the privacy of the individual, what cloud computing is, virtualisation, hosted instances, hosted solutions and clustering, cloud services: storage, email, software and backup and Evaluating cloud computing for business.
The 12 subtopics
Each one has its own page.
- Cells, masts and frequency reuseCell in a mobile phone network, base transceiver station and what is meant by frequency reuse.Open →
- Handoff between cellsSteps involved in handing a call to a new cell, hard handoff and soft handoff.Open →
- The base station controller, the mobile switching centre and the PSTNHeld in the home location register, what happens when the network pages a handset and public switched telephone network.Open →
- What data mining isTerm data mining, stages of the knowledge discovery process around data mining and market basket analysis.Open →
- Gathering and storing data for miningFive sources from which an organisation gathers data for mining, clickstream data and data warehouse.Open →
- Processing and analysing large volumes of dataHow distributed processing speeds up analysis, map and reduce approach to processing large data sets and in-memory processing.Open →
- Big data in health, finance and retailBig data and how a bank uses large-scale analysis to detect fraud.Open →
- Data mining and the privacy of the individualHow aggregation turns harmless data into sensitive data, sensitive fact that mining can infer without being told it and function creep.Open →
- What cloud computing isCloud computing, main characteristics that distinguish a cloud service and what on-demand self-service means.Open →
- Virtualisation, hosted instances, hosted solutions and clusteringTerm virtualisation, node in a cluster and why virtualisation and clustering together make cloud computing possible.Open →
- Cloud services: storage, email, software and backupBenefit of file versioning in cloud storage, virtualised software delivery and cloud backup.Open →
- Evaluating cloud computing for businessAdvantage of the provider handling software updates, security concern created by placing data with a provider and risk cloud computing creates around connectivity.Open →
What you need to know
Answer each one before you reveal it.
Describe how a fixed-line call is routed between distant subscribers.
Describe the extract, transform and load process.
Distinguish structured from unstructured data.
Why are the results of mining presented visually?
What is re-identification, and why does it threaten privacy?
State the main characteristics that distinguish a cloud service.
Explain the risk cloud computing creates around connectivity.
What is a handoff?
Define the term data mining.
What is meant by big data?
Define the term virtualisation.
What does a cloud data storage service provide?
Why is a mobile telephone network divided into cells?
What other term is used for a handoff?
What does a base station controller do?
Why is the process called mining?
Why can a single powerful server not analyse the largest data sets?
Explain what volume means as a characteristic of big data.
How does data mining allow an organisation to know more about a person than that person told it?
What is meant by cloud computing?
What is a hypervisor?
How does synchronisation work in a cloud storage service?
Explain how cloud computing changes the way a business pays for computing.
What is a cell in a mobile phone network?
How does the network know that a handoff is needed?
Why is a base station controller used rather than making every mast independent?
Distinguish data mining from running a database query.
Name five sources from which an organisation gathers data for mining.
Explain how distributed processing speeds up analysis.
Explain what variety means as a characteristic of big data.
What is function creep?
What is elasticity in cloud computing?
Distinguish the host from a guest in a virtualised system.
What is the benefit of file versioning in cloud storage?
Why does cloud computing particularly suit a business with seasonal demand?
Take Mobile Technology, Data Mining and Cloud Computing further
The same content, four other ways.
Questions from this topic
Each one with the model answer underneath.
- 1
Why is a mobile telephone network divided into cells?
Model answer
A mobile network is divided into cells so the same frequencies can be reused in cells far enough apart not to interfere. One limited band of spectrum can therefore serve millions of subscribers at once.
- 2
What is a cell in a mobile phone network?
Model answer
A cell is the area of ground covered by one base station. Any handset inside the cell can hold a usable radio link to that station.
- 3
What equipment does a mobile phone mast carry?
Model answer
A mobile phone mast carries the antennas of a base station mounted high for a clear signal path, together with the transceivers, the power supply and the fixed link back to the rest of the network.
- 4
What is a base transceiver station?
Model answer
A base transceiver station is the radio equipment at a mast serving the handsets in one cell. The station converts between the radio signal and the digital traffic the network carries.
- 5
Why are cells drawn as hexagons on a network plan?
Model answer
Cells are drawn as hexagons because a hexagonal grid covers an area with no gaps or overlaps. The shape also approximates the roughly circular coverage of an antenna, although real coverage follows the terrain.
- 6
Explain what is meant by frequency reuse.
Model answer
Frequency reuse allocates channels in a repeating pattern so that neighbouring cells always use different frequencies. A frequency is used again only in a cell far enough away for the signal to have weakened.
What is inside Levo
Six ways to work the same material.
Mobile Technology, Data Mining and Cloud Computing revision questions
- What does Mobile Technology, Data Mining and Cloud Computing cover in CCEA A-Level Digital Technology?
- 12 subtopics: cells, masts and frequency reuse, handoff between cells, the base station controller, the mobile switching centre and the pstn, what data mining is, gathering and storing data for mining, processing and analysing large volumes of data, big data in health, finance and retail, data mining and the privacy of the individual, what cloud computing is, virtualisation, hosted instances, hosted solutions and clustering, cloud services: storage, email, software and backup and evaluating cloud computing for business. Each one has its own page with questions and model answers.
- How is Mobile Technology, Data Mining and Cloud Computing organised?
- By the CCEA 2650 specification, subtopic by subtopic, so it matches the order you are taught it in.
Every question in Mobile Technology, Data Mining and Cloud Computing, on a schedule.
Attempt a question from memory, write the correct version, then attempt it again. Levo records the jump between your first attempt and your last, and brings each question back on the day you are due to forget it.
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