C1000-059 無料問題集「IBM AI Enterprise Workflow V1 Data Science Specialist」

（A）cognitive analytics

（B）descriptive analytics

（C）prescriptive analytics

（D）predictive analytics

（A）support for common business oriented language (COBOL) applications

（B）capable of managing and handling dynamic workloads with automatic recovery from failures

（C）constant attention needed for maintenance and support of the cloud platform

（D）the hardware requirement can be scaled up as per the demand

（E）hybrid clouds enable the deployment of distributed large neural networks

（A）multi-label classification

（B）isolation forest

（C）Word2Vec

（D）gradient descent

（E）one class Support Vector Machine (SVM)

（A）Machine learning models take less time to train.

（B）Machine learning does not require explicit coding of decision logic.

（C）Machine learning is optimized to run on parallel computing and cloud computing.

（D）Machine learning takes full advantage of SDKs and APIs.

（A）node self-registration mode

（B）persistent storage

（C）vertical pod autoscaling

（D）horizontal pod autoscaling

（A）book recommendation

（B）identify suitable candidates for a job

（C）recall is always preferred

（D）detection of malignant tumors