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NI Updated CLAD Exam Blueprint, Syllabus and Topics

Certified LabVIEW Associate Developer Examination

Last Update May 16, 2024
Total Questions : 80

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NI CLAD Exam Overview :

Exam Name Certified LabVIEW Associate Developer Examination
Exam Code CLAD
Actual Exam Duration 60 minutes
Expected no. of Questions in Actual Exam 40
Official Information http://sine.ni.com/nips/cds/view/p/lang/en/nid/14438
See Expected Questions NI CLAD Expected Questions in Actual Exam
Take Self-Assessment Use NI CLAD Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

NI CLAD Exam Topics :

Section Weight Objectives
Hardware 10% • Connecting Hardware: Sensors, DAQ, Devices under test (DUT.
• Acquiring and validating a signal
• Processing signals
• Using appropriate sample rates
LabVIEW Programming Environment 25% • Setting up and using a LabVIEW Project to:
o Add, delete, and move elements
o Use libraries and appropriate types of folders
o Avoid cross-linking
• Data Types:
o Recognize data types on the front panel
o Recognize data types on the block diagram from terminals and wires
o Choose appropriate controls, indicators, data types, & functions for a given scenario
• Predicting order-of-execution and behavior of
o A non-looping VI
o A Simple State Machine
o An Event-driven UI Handler
o Parallel Loops (without queues)
• Using basic functions to create a simple Acquire-Analyze-Visualize application
• Troubleshooting by identifying and correcting the cause of a broken arrow or incorrect data
• Error handling using error clusters and merge error functions to ensure errors are handled well
• Navigating LabVIEW help to get more information about inputs, outputs, and functions
LabVIEW Programming Fundamentals 50% • Loops
o Create continuous HW acquisition or generation loop by applying a Open-Configure-Perform Operation-Close model.
o Retain data in shift registers
o Use input and output terminals effectively, including:
? Determining the last value output
? Indexing input and output terminals
? Concatenating output
? Using conditional output
? Using shift registers, both initialized and uninitialized.
o Use timing of loops appropriately, including:
? Software timing
? Hardware timing
o Use For Loops and While Loops appropriately
• Arrays
o View data from an n-channel HW acquisition VI (using the DAQmx Read VI) using a waveform graph, waveform chart, or numeric/waveform array indicator.
o Extract a single channel of data (waveform or 1D Array) from a:
? 1D waveform array representing acquired data from multiple channels
? 2D numeric array representing acquired data from multiple channels
? 1D numeric array representing single measurement from multiple channels
o Use a For Loop with auto-indexing and conditional tunnels to:
? Iterate through an array
? Iterate processing code on each channel of data in a 1D waveform array
? Generate an array of data that meets required conditions
o Identify by sight and be able to use and predict the behavior of the following array functions and VIs:
? Array Size
? Index Array
? Replace Subset
? Insert Into Array
? Delete From Array
? Initialize Array
? Build Array
? Array Subset
? Max & Min
? Sort 1D Array
? Search 1D Array
? Split 1D Array
• Writing conditional code to perform an action based on the value of a user input or a measurement result.
• Reading and Writing data to a file
o Use Open/Act/Close model for file I/O
o Write data to a text file using high-level file I/O functions
o Continuously stream data to a text file or a TDMS file
o Append data to an existing data file
o Log data using simple VIs
o Acquire data from DAQmx functions
o Display data on a graph
o Save data to a CSV file
o Choose single measurement/multiple channel and single channel/multiple measurements configurations appropriately
Programming Best Practices 15% • SubVIs – Reusing Code
o Create SubVIs to increase readability and scalability of VIs
o Configure the subVI connector pane using best practices
o Choose appropriate code as a SubVI source
• Clusters – Grouping Data of Mixed Data Types
o Create, manipulate, analyze, and use cluster data in common scenarios
o Group related data by creating a cluster to improve data organization and VI readability
• Type Defs – Propagate Data Type Changes
o Create Type Defs and use Type Defs in multiple places
o Update Type Defs to propagate changes to all instances of the Type Def

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