Data Management and NoSQL Systems Quiz
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Questions and Answers

Which type of data does a data lake primarily store?

  • Metadata
  • Structured data
  • Semi-structured data
  • Unstructured data (correct)

    • What is the main advantage of synthetic training data for AI systems?

  • Clear semantic reliability
  • Limited applicability
  • High variability
  • Generation of large amounts of data quickly (correct)

    • In what aspects do NoSQL systems excel compared to relational databases?

  • ACID transactions
  • Flexible data model
  • Powerful SQL query language
  • Global distribution (correct)

    • What is the primary advantage of relational databases over NoSQL systems?

    <p>ACID transactions</p> Signup and view all the answers

    What type of data storage solution is recommended for a university library's historic map digitization project?

    <p>Document store</p> Signup and view all the answers

    What is the main advantage of a document store over a key-value store?

    <p>Query flexibility</p> Signup and view all the answers

    In a DHT implementation like Chord, what is the purpose of finger tables?

    <p>Maintaining routing complexity</p> Signup and view all the answers

    What is the routing complexity of P2P systems like Chord?

    <p>$O( ext{log} n)$</p> Signup and view all the answers

    What does ETL stand for in the context of data management?

    <p>Extract, Transform, Load</p> Signup and view all the answers

    What does a data lake struggle with in data management?

    <p>Variety and Veracity</p> Signup and view all the answers

    What are some reasons why data-related tasks take so much time and effort in typical machine learning projects?

    <p>Tasks like data identification, aggregation, cleaning, labelling, and augmentation are specific to problem domains and require custom solutions.</p> Signup and view all the answers

    Which best summarizes the 4V’s of Big Data?

    <p>Volume, Velocity, Variety, Veracity: These represent the size, speed, formats, and quality challenges of big data.</p> Signup and view all the answers

    How can the 4V’s of Big Data be addressed by current technology?

    <p>Current technology offers solutions for managing large volumes, processing data at high speeds, handling diverse data formats, and assessing data quality.</p> Signup and view all the answers

    In a DHT using finger tables with a hash range from 0 to 255 organized as a hash ring, if Node 1 covers the hash range 3-55, what would be the entry for distance 32 in Node 1's Chord-style finger table?

    <p>87</p> Signup and view all the answers

    Briefly outline the difference between consistency in the CAP theorem and consistency in ACID.

    <p>CAP consistency refers to consistency of replicas; ACID consistency refers to overall data consistency when faced with potentially complex transactions.</p> Signup and view all the answers

    A new database system claims that it can recover from a fatal hard drive failure by rebuilding all lost data from a log file stored on a different drive, and thus would be available (in the sense of the CAP theorem). Briefly discuss this claim.

    <p>The system is not fully available during the rebuild, so it does not satisfy the availability requirement of the CAP theorem.</p> Signup and view all the answers

    Can the Two-Phase Commit Protocol recover from a worker who sent a 'ready' answer to a 'prepare', but never answered with an 'acknowledge' after a 'commit'. Why (not)?

    <p>Somewhat. The safest approach would be to wait for a timeout and then treat the silence as a failure, sending a rollback to all other workers.</p> Signup and view all the answers

    Why does a system like Amazon Dynamo use a Vector Clock instead of regular time stamps?

    <p>Vector clocks can differentiate between conflicting versions and outdated versions, addressing issues like partitioning events or concurrent modifications.</p> Signup and view all the answers

    In a replicated data storage scenario, a master-slave setup for each replica using locks for write operations would ensure that 'read-your-own-write' conflicts will not happen.

    <p>No. Write locks would only fix write-write conflicts, not read-your-own-write conflicts.</p> Signup and view all the answers

    Data-related tasks in typical machine learning projects are usually generalizable and do not require custom made solutions.

    <p>False</p> Signup and view all the answers

    The 4V's of Big Data include Volume, Velocity, Variety, and Veracity.

    <p>True</p> Signup and view all the answers

    The 4V's of Big Data can be fully addressed by current technology.

    <p>False</p> Signup and view all the answers

    The ability to ingest data at high rates is not a concern when dealing with Big Data.

    <p>False</p> Signup and view all the answers

    Data aggregation is a task specific to a given problem domain and cannot be solved in a general fashion.

    <p>True</p> Signup and view all the answers

    Data cleaning is not a time-consuming task in machine learning projects.

    <p>False</p> Signup and view all the answers

    Data labelling is a task specific to a given problem domain and cannot be solved in a general fashion.

    <p>True</p> Signup and view all the answers

    Data uncertainty and quality are not important considerations in dealing with Big Data.

    <p>False</p> Signup and view all the answers

    The primary concern with Big Data is related to the size of data to store.

    <p>True</p> Signup and view all the answers

    Most data-related tasks in machine learning projects rely on manual labor.

    <p>True</p> Signup and view all the answers

    Amazon DynamoDB uses finger tables for routing in a Chord-style DHT.

    <p>False</p> Signup and view all the answers

    A DHT using finger tables with a hash range from 0 to 255, organized as a hash ring, can have a maximum of 8 nodes.

    <p>False</p> Signup and view all the answers

    Consistency in the CAP theorem refers only to consistency of replicas, while ACID consistency refers to overall data consistency when faced with potentially complex transactions.

    <p>True</p> Signup and view all the answers

    A new database system claiming to recover from a fatal hard drive failure by rebuilding all lost data from a log file would be fully available according to the CAP theorem.

    <p>False</p> Signup and view all the answers

    The Two-Phase Commit Protocol can recover from a worker who sent a 'ready' answer to a 'prepare', but never answered with an 'acknowledge' after a 'commit'.

    <p>False</p> Signup and view all the answers

    Amazon Dynamo uses a Vector Clock instead of regular time stamps because Vector Clocks are more efficient for timestamping data.

    <p>False</p> Signup and view all the answers

    In a replicated data storage scenario, a master-slave setup for each replica using locks for write operations would ensure that 'read-your-own-write' conflicts will not happen.

    <p>False</p> Signup and view all the answers

    A Chord-style finger table for Node 1 would have the entry for distance 32 as Node 3.

    <p>False</p> Signup and view all the answers

    NoSQL systems excel compared to relational databases in terms of data consistency and atomicity.

    <p>False</p> Signup and view all the answers

    A document store has the main advantage of better scalability over a key-value store.

    <p>False</p> Signup and view all the answers

    Data lakes are designed to have a solid central understanding of data semantics.

    <p>False</p> Signup and view all the answers

    A document store would have the smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and Python.

    <p>True</p> Signup and view all the answers

    Finger tables in a DHT implementation like Chord serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing complexity.

    <p>True</p> Signup and view all the answers

    NoSQL systems struggle with availability and replication compared to relational databases.

    <p>False</p> Signup and view all the answers

    ETL stands for Extract, Transform, Load, and is a pipeline workflow for transferring data between systems.

    <p>True</p> Signup and view all the answers

    A data lake is a single store of diverse, big, and varied data with a solid central understanding of data semantics.

    <p>False</p> Signup and view all the answers

    Relational databases have advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data.

    <p>True</p> Signup and view all the answers

    A document store is not suggested as the data storage solution for a university library's historic map digitization project, matching the data model and queries well.

    <p>False</p> Signup and view all the answers

    Synthetic training data for AI systems suffers from unclear semantic reliability and limited applicability.

    <p>False</p> Signup and view all the answers

    P2P systems like Chord use finger tables to ensure each node only needs a node state of O(log n) while maintaining a routing complexity of O(log n).

    <p>True</p> Signup and view all the answers

    Data-related tasks in typical machine learning projects usually rely on ______ labor

    <p>manual</p> Signup and view all the answers

    The 4V's of Big Data include Volume, Velocity, Variety, and ______

    <p>Veracity</p> Signup and view all the answers

    The ability to ingest data at high rates is a concern when dealing with Big ______

    <p>Data</p> Signup and view all the answers

    A document store would have the smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and ______

    <p>Python</p> Signup and view all the answers

    Consistency in the CAP theorem refers only to consistency of replicas, while ACID consistency refers to overall data consistency when faced with potentially complex ______

    <p>transactions</p> Signup and view all the answers

    In what aspects do NoSQL systems excel compared to ______ databases?

    <p>relational</p> Signup and view all the answers

    Data labelling is a task specific to a given problem domain and cannot be solved in a general ______

    <p>fashion</p> Signup and view all the answers

    The 4V's of Big Data can be fully addressed by current ______

    <p>technology</p> Signup and view all the answers

    In a DHT implementation like Chord, what is the purpose of finger ______?

    <p>tables</p> Signup and view all the answers

    ETL stands for Extract, ______, Load, and is a pipeline workflow for transferring data between systems

    <p>Transform</p> Signup and view all the answers

    Amazon DynamoDB uses finger tables for routing in a Chord-style DHT

    <p>false</p> Signup and view all the answers

    A Chord-style finger table for Node 1 would have the entry for distance 32 as Node 3

    <p>true</p> Signup and view all the answers

    In a DHT using finger tables with a hash range from 0 to 255, organized as a hash ring, can have a maximum of 8 nodes

    <p>false</p> Signup and view all the answers

    The routing complexity of P2P systems like Chord

    <p>$O(\log n)$</p> Signup and view all the answers

    The 4V's of Big Data include Volume, Velocity, Variety, and Veracity

    <p>true</p> Signup and view all the answers

    The main advantage of synthetic training data for AI systems

    <p>unclear semantic reliability and limited applicability</p> Signup and view all the answers

    ETL stands for Extract, Transform, Load, and is a pipeline workflow for transferring data between systems

    <p>true</p> Signup and view all the answers

    In a DHT implementation like Chord, what is the purpose of finger tables

    <p>quickly locating the physical machine holding the requested data and maintaining routing complexity</p> Signup and view all the answers

    NoSQL systems excel compared to relational databases in terms of data consistency and atomicity

    <p>false</p> Signup and view all the answers

    A document store has the main advantage of better scalability over a key-value store

    <p>true</p> Signup and view all the answers

    ETL stands for Extract, Transform, Load, and is a pipeline workflow for transferring data between ______

    <p>systems</p> Signup and view all the answers

    NoSQL systems offer potential scalability, global distribution, higher performance, and focus on availability and replication compared to ______ databases

    <p>relational</p> Signup and view all the answers

    A document store is suggested as the data storage solution for a university library's historic map digitization project, matching the data model and ______ well

    <p>queries</p> Signup and view all the answers

    A document store would have the smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and ______

    <p>Python</p> Signup and view all the answers

    The potential disadvantages of a document store over a key-value store include complexity and potential performance ______

    <p>differences</p> Signup and view all the answers

    Finger tables in a DHT implementation like Chord serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing ______

    <p>complexity</p> Signup and view all the answers

    P2P systems like Chord use finger tables to ensure each node only needs a node state of O(log n) while maintaining a routing complexity of ______

    <p>O(log n)</p> Signup and view all the answers

    Synthetic training data for AI systems has advantages in generating large amounts of data quickly, but suffers from unclear semantic reliability and limited ______

    <p>applicability</p> Signup and view all the answers

    Current technology can handle Volume and Velocity well, but struggles with Variety and ______ in data management

    <p>Veracity</p> Signup and view all the answers

    Data management for a large enterprise application using SOA involves several smaller co-located databases communicating via interfaces, unlike traditional enterprise database ______

    <p>setups</p> Signup and view all the answers

    Match the following data-related tasks with their descriptions:

    <p>Data identification = The process of recognizing and categorizing different types of data Data aggregation = The task specific to a given problem domain and cannot be solved in a general fashion Data cleaning = The process of detecting and correcting corrupt or inaccurate records in a dataset Data labeling = The process of tagging or categorizing data according to pre-defined criteria</p> Signup and view all the answers

    Match the 4V's of Big Data with their descriptions:

    <p>Volume = Refers to the size of the data to store, requiring a lot of storage Velocity = Involves data coming in at high rates and the need to ingest data quickly Variety = Refers to data coming in many formats, requiring flexible systems Veracity = Involves uncertain or dubious quality of data, requiring coping mechanisms</p> Signup and view all the answers

    Match the following statements with their accuracy regarding the 4V's of Big Data:

    <p>Current technology can fully address the 4V's = Inaccurate Volume and Velocity can be handled well, but Variety and Veracity struggle = Accurate The 4V's are not important considerations in dealing with Big Data = Inaccurate Big Data primarily concerns the size of data to store = Inaccurate</p> Signup and view all the answers

    Match the data-related tasks with their reliance on manual labor:

    <p>Data identification = Relies on manual labor Data aggregation = Relies on manual labor Data cleaning = Relies on manual labor Data labeling = Relies on manual labor</p> Signup and view all the answers

    Match the 4V's of Big Data with the challenges they pose for data management:

    <p>Volume = Challenges in storage and scalability Velocity = Challenges in data ingestion and processing speed Variety = Challenges in system flexibility and optimization Veracity = Challenges in measuring and coping with data quality and uncertainty</p> Signup and view all the answers

    Match the following data management concepts with their descriptions:

    <p>Data lake = A single store of diverse, big, and varied data without a solid central understanding of data semantics ETL = A pipeline workflow for transferring data between systems Relational databases = Advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data Document store = Suggested as the data storage solution for a university library's historic map digitization project, matching the data model and queries well</p> Signup and view all the answers

    Match the following advantages with their corresponding data storage solutions:

    <p>NoSQL systems = Potential scalability, global distribution, higher performance, and focus on availability and replication compared to relational databases Synthetic training data for AI systems = Advantages in generating large amounts of data quickly, but suffers from unclear semantic reliability and limited applicability Document store = Smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and Python Relational databases = Advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data</p> Signup and view all the answers

    Match the following data management scenarios with their corresponding data storage solutions:

    <p>Large enterprise application using SOA = Several smaller co-located databases communicating via interfaces, unlike traditional enterprise database setups University library's historic map digitization project = Suggested as the data storage solution, matching the data model and queries well AI systems = Synthetic training data for AI systems has advantages in generating large amounts of data quickly, but suffers from unclear semantic reliability and limited applicability General application written in JavaScript and Python = Smallest impedance mismatch for a document store in this scenario</p> Signup and view all the answers

    Match the following P2P system components with their functions:

    <p>Finger tables = Quickly locating the physical machine holding the requested data and maintaining routing complexity Chord-style finger table = Entry for distance 32 would point to Node 3 for Node 1 DHT implementation like Chord = Ensuring each node only needs a node state of O(log n) while maintaining a routing complexity of O(log n) Amazon Dynamo = Uses finger tables for routing in a Chord-style DHT</p> Signup and view all the answers

    Match the following data management challenges with their corresponding technology capabilities:

    <p>Volume and Velocity = Handled well by current technology Variety and Veracity = Struggled with by current technology NoSQL systems = Offer potential scalability, global distribution, higher performance, and focus on availability and replication Relational databases = Advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data</p> Signup and view all the answers

    Match the following concepts with their respective explanations:

    <p>CAP theorem consistency = Refers only to consistency of replicas ACID consistency = Refers to overall data consistency when faced with potentially complex transactions Vector Clock in Amazon Dynamo = Differentiates between conflicting versions and outdated versions Master-slave setup with locks in replicated data storage = Fixes write-write conflicts but does not prevent read-your-own-write conflicts</p> Signup and view all the answers

    Match the following scenarios with their respective outcomes:

    <p>Chord-style DHT with 5 nodes = Constructs a Chord-style finger table for Node 1 New database system claim = Rebuilding data from a log file stored on a different drive during a fatal hard drive failure Two-Phase Commit Protocol = Recovering from a worker who sent a 'ready' answer to a 'prepare', but never answered with an 'acknowledge' after a 'commit' Data storage setup for university library's historic map digitization project = Using a document store for the majority of the application written in JavaScript</p> Signup and view all the answers

    Match the following concepts with their respective explanations:

    <p>Finger tables in Chord = Serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing complexity ETL in data management = Stands for Extract, Transform, Load and is a pipeline workflow for transferring data between systems Data lake struggles = With a solid central understanding of data semantics Synthetic training data for AI systems = Advantages in generating large amounts of data quickly but suffers from unclear semantic reliability and limited scalability</p> Signup and view all the answers

    Match the following statements with their respective explanations:

    <p>Amazon DynamoDB's usage of Vector Clock = Efficient for timestamping data and can differentiate between conflicting versions Master-slave setup with locks in replicated data storage = Does not ensure 'read-your-own-write' conflicts will not happen CAP theorem consistency = Refers only to consistency of replicas ACID consistency = Refers to overall data consistency when faced with potentially complex transactions</p> Signup and view all the answers

    Match the following scenarios with their respective outcomes:

    <p>Chord-style DHT with 5 nodes = Constructs a Chord-style finger table for Node 1 New database system claim = Rebuilding data from a log file stored on a different drive during a fatal hard drive failure Two-Phase Commit Protocol = Recovering from a worker who sent a 'ready' answer to a 'prepare', but never answered with an 'acknowledge' after a 'commit' Data storage setup for university library's historic map digitization project = Using a document store for the majority of the application written in JavaScript</p> Signup and view all the answers

    Match the following concepts with their respective explanations:

    <p>Finger tables in Chord = Serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing complexity ETL in data management = Stands for Extract, Transform, Load and is a pipeline workflow for transferring data between systems Data lake struggles = With a solid central understanding of data semantics Synthetic training data for AI systems = Advantages in generating large amounts of data quickly but suffers from unclear semantic reliability and limited scalability</p> Signup and view all the answers

    Match the following statements with their respective explanations:

    <p>Amazon DynamoDB's usage of Vector Clock = Efficient for timestamping data and can differentiate between conflicting versions Master-slave setup with locks in replicated data storage = Does not ensure 'read-your-own-write' conflicts will not happen CAP theorem consistency = Refers only to consistency of replicas ACID consistency = Refers to overall data consistency when faced with potentially complex transactions</p> Signup and view all the answers

    Match the following programming languages with their primary usage:

    <p>Python = General-purpose programming JavaScript = Client-side scripting for web applications SQL = Database queries CSS = Styling web pages</p> Signup and view all the answers

    Match the following programming languages with their primary usage:

    <p>Python = General-purpose programming JavaScript = Client-side scripting for web applications SQL = Database queries CSS = Styling web pages</p> Signup and view all the answers

    Match the following programming languages with their primary usage:

    <p>Python = General-purpose programming JavaScript = Client-side scripting for web applications SQL = Database queries CSS = Styling web pages</p> Signup and view all the answers

    Study Notes

    Data Management and NoSQL Systems

    • Current technology can handle Volume and Velocity well, but struggles with Variety and Veracity in data management.
    • A data lake is a single store of diverse, big, and varied data without a solid central understanding of data semantics.
    • ETL stands for Extract, Transform, Load, and is a pipeline workflow for transferring data between systems.
    • Synthetic training data for AI systems has advantages in generating large amounts of data quickly, but suffers from unclear semantic reliability and limited applicability.
    • NoSQL systems offer potential scalability, global distribution, higher performance, and focus on availability and replication compared to relational databases.
    • Relational databases have advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data.
    • Data management for a large enterprise application using SOA involves several smaller co-located databases communicating via interfaces, unlike traditional enterprise database setups.
    • A document store is suggested as the data storage solution for a university library's historic map digitization project, matching the data model and queries well.
    • A document store would have the smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and Python.
    • The potential disadvantages of a document store over a key-value store include complexity and potential performance differences.
    • Finger tables in a DHT implementation like Chord serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing complexity.
    • P2P systems like Chord use finger tables to ensure each node only needs a node state of O(log n) while maintaining a routing complexity of O(log n).

    Data Management and NoSQL Systems

    • Current technology can handle Volume and Velocity well, but struggles with Variety and Veracity in data management.
    • A data lake is a single store of diverse, big, and varied data without a solid central understanding of data semantics.
    • ETL stands for Extract, Transform, Load, and is a pipeline workflow for transferring data between systems.
    • Synthetic training data for AI systems has advantages in generating large amounts of data quickly, but suffers from unclear semantic reliability and limited applicability.
    • NoSQL systems offer potential scalability, global distribution, higher performance, and focus on availability and replication compared to relational databases.
    • Relational databases have advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data.
    • Data management for a large enterprise application using SOA involves several smaller co-located databases communicating via interfaces, unlike traditional enterprise database setups.
    • A document store is suggested as the data storage solution for a university library's historic map digitization project, matching the data model and queries well.
    • A document store would have the smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and Python.
    • The potential disadvantages of a document store over a key-value store include complexity and potential performance differences.
    • Finger tables in a DHT implementation like Chord serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing complexity.
    • P2P systems like Chord use finger tables to ensure each node only needs a node state of O(log n) while maintaining a routing complexity of O(log n).

    Data Management and NoSQL Systems

    • Current technology can handle Volume and Velocity well, but struggles with Variety and Veracity in data management.
    • A data lake is a single store of diverse, big, and varied data without a solid central understanding of data semantics.
    • ETL stands for Extract, Transform, Load, and is a pipeline workflow for transferring data between systems.
    • Synthetic training data for AI systems has advantages in generating large amounts of data quickly, but suffers from unclear semantic reliability and limited applicability.
    • NoSQL systems offer potential scalability, global distribution, higher performance, and focus on availability and replication compared to relational databases.
    • Relational databases have advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data.
    • Data management for a large enterprise application using SOA involves several smaller co-located databases communicating via interfaces, unlike traditional enterprise database setups.
    • A document store is suggested as the data storage solution for a university library's historic map digitization project, matching the data model and queries well.
    • A document store would have the smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and Python.
    • The potential disadvantages of a document store over a key-value store include complexity and potential performance differences.
    • Finger tables in a DHT implementation like Chord serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing complexity.
    • P2P systems like Chord use finger tables to ensure each node only needs a node state of O(log n) while maintaining a routing complexity of O(log n).

    Data Management and NoSQL Systems

    • Current technology can handle Volume and Velocity well, but struggles with Variety and Veracity in data management.
    • A data lake is a single store of diverse, big, and varied data without a solid central understanding of data semantics.
    • ETL stands for Extract, Transform, Load, and is a pipeline workflow for transferring data between systems.
    • Synthetic training data for AI systems has advantages in generating large amounts of data quickly, but suffers from unclear semantic reliability and limited applicability.
    • NoSQL systems offer potential scalability, global distribution, higher performance, and focus on availability and replication compared to relational databases.
    • Relational databases have advantages in ACID transactions, powerful SQL query language, and flexible data model suited for tabular data.
    • Data management for a large enterprise application using SOA involves several smaller co-located databases communicating via interfaces, unlike traditional enterprise database setups.
    • A document store is suggested as the data storage solution for a university library's historic map digitization project, matching the data model and queries well.
    • A document store would have the smallest impedance mismatch in the scenario described, given the majority of the application is written in JavaScript and Python.
    • The potential disadvantages of a document store over a key-value store include complexity and potential performance differences.
    • Finger tables in a DHT implementation like Chord serve the purpose of quickly locating the physical machine holding the requested data and maintaining routing complexity.
    • P2P systems like Chord use finger tables to ensure each node only needs a node state of O(log n) while maintaining a routing complexity of O(log n).

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    Description

    Test your knowledge of data management and NoSQL systems with this quiz. Explore topics such as data lakes, ETL, NoSQL scalability, document stores, and distributed hash tables (DHT). Learn about the advantages and disadvantages of different data management approaches and their suitability for various scenarios.

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