AML Technology & Digital Tools 3

Question 1

In Apache Spark MLlib, which abstraction replaced the original RDD-based API as the primary interface for machine learning?

Accepted Answer

DataFrame-based ML Pipelines

Answer

Spark MLlib's DataFrame-based Pipeline API (spark.ml) replaced the older RDD-based API (spark.mllib) for better integration with Spark SQL and improved performance.

Question 2

Which tool is specifically designed for hyperparameter optimization and supports population-based training, Bayesian optimization, and early stopping?

Accepted Answer

Ray Tune

Answer

Ray Tune is a scalable hyperparameter tuning library that integrates multiple search algorithms (Bayesian, PBT, ASHA) and runs trials in parallel across a cluster.

Question 3

What is 'model quantization' in the context of ML model optimization?

Accepted Answer

Converting model weights from higher-precision to lower-precision data types

Answer

Quantization reduces model size and inference latency by representing weights and activations in lower-bit formats (e.g., INT8 instead of FP32) with minimal accuracy loss.

Question 4

In a typical CI/CD pipeline for ML (MLOps), what step immediately follows model training and precedes deployment?

Accepted Answer

Model evaluation and validation

Answer

After training, the model must pass evaluation gates (accuracy thresholds, fairness checks, performance benchmarks) before it is approved for deployment.

Question 5

Which GPU memory optimization technique allows training models larger than a single GPU's VRAM by partitioning model layers across multiple GPUs?

Accepted Answer

Pipeline Parallelism (Model Parallelism)

Answer

Pipeline/model parallelism splits the model's layers across multiple GPUs so each GPU holds and computes only a portion of the network.

(AML) Advanced Machine Learning Certification Practice Test

(AML) Advanced Machine Learning Certification Practice Test

AML Technology & Digital Tools 3