MCQs

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Overall MCQs for Reference

What is a Hyper file mainly used for in analytics?
a. Image storage
b. Compressed data extracts
c. Video rendering
d. Web hosting
Answer: b. Compressed data extractstableau+1
Which platform natively uses Hyper files for efficient analytics?
a. Excel
b. Tableau
c. RStudio
d. Power BI
Answer: b. Tableautableau+1
The Tableau Hyper API allows programmatic access to which file format?
a. .xlsx
b. .csv
c. .hyper
d. .json
Answer: c. .hypertableau+1
What Python library provides native support for reading and writing Hyper files?
a. numpy
b. tableauhyperapi
c. pandas
d. scikit-learn
Answer: b. tableauhyperapitableau+1
Which object is used to initiate a connection to a Hyper file in the Hyper API?
a. Connector
b. Connection
c. Session
d. Joiner
Answer: b. Connectiontableau.github+1
How would you most efficiently combine data from multiple Hyper files?
a. Manual copy-paste
b. Use union operations via Hyper API
c. Use Excel formulas
d. Export to JSON and merge
Answer: b. Use union operations via Hyper APIyoutubetableau
What SQL command is directly supported by the Hyper API for querying data within Hyper files?
a. UPDATE
b. DELETE
c. SELECT
d. All of the above
Answer: d. All of the abovetableau+1
Which integration type is NOT natively supported by Hyper files?
a. Script-based ETL
b. REST API uploads
c. Direct in-browser editing
d. Automated extract refresh
Answer: c. Direct in-browser editingtableau+1
Hyper API can attach how many Hyper files to a single connection for cross-database operations?
a. Only one
b. Two
c. Multiple
d. Unlimited
Answer: c. Multipletableauyoutube
What file extension is associated with Tableau Hyper files?
a. .tbl
b. .hpf
c. .hyper
d. .csv
Answer: c. .hypertableau.github+1
A primary benefit of using Hyper files with machine learning pipelines is:
a. Slower data transfer
b. Enhanced compression and speed
c. Incompatibility with other tools
d. No performance difference
Answer: b. Enhanced compression and speedtableau+1
How do you update data in a Hyper file via the Hyper API?
a. Use cell formulas
b. Use SQL UPDATE
c. Use Python’s open()
d. Use R scripts only
Answer: b. Use SQL UPDATEtableau.github+1
Which step is necessary before reading from a Hyper file in Python?
a. Installing tableauhyperapi
b. Downloading Hyper files from Tableau Public
c. Using Excel connector
d. Converting to JSON
Answer: a. Installing tableauhyperapitableau+1
Hyper API supports what kind of ETL patterns?
a. Manual ETL only
b. Automated and incremental
c. Visualization only
d. None
Answer: b. Automated and incrementaltableau+1
What function attaches another Hyper file to the current connection in Hyper API?
a. link_file()
b. attach_database()
c. connect_file()
d. merge_hyper()
Answer: b. attach_database()youtubetableau
Which statement about schemas in Hyper files is correct?
a. Schemas cannot be defined
b. Schemas define table structure inside .hyper
c. Schemas define color formatting
d. Schemas only work in SQL Server
Answer: b. Schemas define table structure inside .hypertableau+1
Which type of data access is enabled by the Hyper API?
a. Virtual reality
b. SQL-based data manipulation
c. NoSQL querying
d. Only file download
Answer: b. SQL-based data manipulationtableau.github+1
Which use case benefits most from using a Hyper file as a data sink?
a. Streaming video processing
b. Scalable, high-performance analytics extracts
c. Real-time chat analysis
d. Web crawling
Answer: b. Scalable, high-performance analytics extractstableau+1
How can Python interact with Tableau Hyper files directly?
a. Via pandas read_csv
b. Via tableauhyperapi
c. Via openpyxl
d. Via tkinter
Answer: b. Via tableauhyperapitableau+1
What is required to automate the creation of .hyper files from machine learning predictions?
a. SQL Server Management Studio
b. Hyper API or compatible plugin
c. Only Tableau Desktop
d. Manual editing
Answer: b. Hyper API or compatible plugindataiku+1
Hyper files are ideal for which kind of machine learning data operation?
a. Single Excel sheet editing
b. High-speed batch extract management
c. Direct image recognition
d. Mobile browser querying
Answer: b. High-speed batch extract managementtableau+1
What method enables reading data from multiple Hyper files as if from a single source?
a. Sheet merging
b. Database attachment and SQL joins
c. Workbook linking
d. Macro scripts
Answer: b. Database attachment and SQL joinsyoutubetableau
Tableau Hyper Export plugin is typically used for:
a. Exporting datasets to Hyper format
b. Rendering HTML tables
c. Encrypting CSV files
d. Sending emails
Answer: a. Exporting datasets to Hyper formatdataiku+1
Which Hyper API object should be instantiated for telemetry in production?
a. Telemetry.NONE
b. Telemetry.SEND_USAGE_DATA_TO_TABLEAU
c. Telemetry.DEBUG
d. Telemetry.ROOT
Answer: b. Telemetry.SEND_USAGE_DATA_TO_TABLEAUtableau
Operations such as insert, update, delete in Hyper files are achieved via:
a. Hyper SQL
b. REST API only
c. Text editor
d. Windows PowerShell
Answer: a. Hyper SQLtableau.github+1
In ML workflow, using Hyper files can improve:
a. Data latency and performance
b. Code syntax only
c. HTML parsing
d. Authentication security
Answer: a. Data latency and performancetableau+1
Hyper files are considered what type of asset in machine learning systems?
a. Static log files
b. Dynamic data extracts
c. ZIP archives
d. Plain text notes
Answer: b. Dynamic data extractstableau+1
To combine extracted tables out of two Hyper files, what feature is used in Hyper API?
a. append_table()
b. attach_database()+SQL union
c. merge_csv()
d. create_hyperfile()
Answer: b. attach_database()+SQL unionyoutubetableau
A Hyper file can store:
a. Only strings
b. Structured tabular data
c. Only scripts
d. Video streams
Answer: b. Structured tabular datatableau.github+1
Which scenario would require updating a Hyper file in machine learning?
a. New data arrives for predictions
b. Image classification routines
c. GPU driver updates
d. Browser cache cleaning
Answer: a. New data arrives for predictionstableau+1
When automating a machine learning workflow in Python, Hyper files can be:
a. Written to using tableauhyperapi
b. Shown in Power BI
c. Only used with R
d. Unreadable
Answer: a. Written to using tableauhyperapibiztory+1
Which advantage do Hyper files have over CSVs for data transfer?
a. Less readable
b. Performance and query optimization
c. No support for numbers
d. Larger size
Answer: b. Performance and query optimizationtableau+1
Which function in tableauhyperapi initializes the Hyper engine process?
a. HyperProcess
b. HyperStart
c. HyperConnect
d. HyperInit
Answer: a. HyperProcesstableau+1
Data from a Hyper file can be explored using which language?
a. C++
b. SQL
c. Assembly
d. HTML
Answer: b. SQLtableau+1
Which kind of processing job is simplified by integrating Hyper files with ML tools?
a. Real-time sensor control
b. ETL and batch scoring
c. Direct GPU rendering
d. CSS updates
Answer: b. ETL and batch scoringtableau+1
Tableau Hyper API is especially useful when you need to:
a. Create encrypted PDF reports
b. Manipulate high-volume data extracts for analytics
c. Stream music files
d. Design websites
Answer: b. Manipulate high-volume data extracts for analyticstableau+1
Data security in Hyper files relies on:
a. File system permissions and encryption
b. HTML forms
c. Open APIs only
d. No protection
Answer: a. File system permissions and encryptionhevodata+1
When using attach_database, how are tables accessed?
a. By file name only
b. By provided alias
c. Only by row index
d. By table color
Answer: b. By provided aliasyoutubetableau
APIs for Hyper files are available in which languages?
a. Python, C++, Java
b. Ruby only
c. HTML only
d. Fortran only
Answer: a. Python, C++, Javatableau+1
Tableau Hyper files can be uploaded to Tableau Server via:
a. REST API
b. DNS queries
c. USB drives only
d. Android apps
Answer: a. REST APItrailhead.salesforce+1
For updating published Tableau data with ML results, the best file format is:
a. .txt
b. .hyper
c. .log
d. .dat
Answer: b. .hyperdataiku+1
Multi-table extracts in Hyper files enable:
a. Embedding scripts inside tables
b. Combining data from multiple tables for one extract
c. Sending email alerts
d. Only one table per file
Answer: b. Combining data from multiple tables for one extractbiztory
Hyper API helps in what kind of ML/BI workflow?
a. Automating data publication to Tableau Server
b. Writing JavaScript UI for Tableau dashboards
c. Compiling platforms
d. Merging web apps
Answer: a. Automating data publication to Tableau Serverbiztory+1
Which database operation is NOT directly supported on Hyper files using Hyper API?
a. SELECT
b. DELETE
c. UPDATE
d. Blockchain mining
Answer: d. Blockchain miningtableau+1
What prerequisite is necessary for using Hyper API in Python?
a. Install tableauhyperapi package
b. Install matplotlib
c. Create SQL Server database
d. Nothing
Answer: a. Install tableauhyperapi packagetableau+1
To efficiently store daily ML predictions, which approach is suggested?
a. New Hyper file per day
b. Overwrite the same text file
c. Append to Excel formulas
d. Real-time CSV streaming
Answer: a. New Hyper file per dayyoutube
Hyper files can be used as both:
a. Input and Output in ML pipelines
b. Only input
c. Only output
d. Only for log files
Answer: a. Input and Output in ML pipelinestableau+1
Which of the following is a limitation of Hyper files?
a. No support for tabular data
b. Proprietary format, not as universally readable as CSV
c. Can’t be queried by SQL
d. Only used for images
Answer: b. Proprietary format, not as universally readable as CSVstackoverflow+1
Combining external data APIs and ML predictions in one Hyper file is an example of:
a. Cross-database integration via ETL
b. Direct model training
c. JSON to HTML conversion
d. GPU computation
Answer: a. Cross-database integration via ETLbiztory+1
If a data scientist wants to ensure fast dashboard refreshes with new ML results in Tableau, which workflow is optimal?
a. Write ML results directly to Hyper and publish
b. Save results as PDF
c. Use manual Tableau updating
d. Send results via email
Answer: a. Write ML results directly to Hyper and publishdataiku+1

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