A company needs to explore large datasets using interactive analytics. Which service should they use?
AAzure SQL Database
BAzure Data Explorer
CAzure Blob Storage
DAzure DevOps
Explanation
Azure Data Explorer is optimized for interactive analytics, unlike the other options.
Q132
What happens when using a low priority VM for ML workloads?
AGuaranteed resources at all times
BLower cost with potential preemption
CHigher performance guaranteed
DIsolated from other workloads
Explanation
Low priority VMs are cheaper but can be preempted based on availability, unlike the other options.
Q133
Which Azure service is designed for managing machine learning workflows?
AAzure Machine Learning
BAzure Blob Storage
CAzure Data Lake
DAzure Stream Analytics
Explanation
Azure Machine Learning provides a comprehensive platform for building, training, and managing ML models, while the other options serve different data-related functions.
Q134
A company needs to train a model using a large dataset stored in Azure Blob Storage. What is the best Azure service to automate data preprocessing?
AAzure Data Factory
BAzure Logic Apps
CAzure Functions
DAzure Synapse Analytics
Explanation
Azure Data Factory is designed for data integration and automation, suitable for large-scale data preprocessing, unlike the other choices.
Q135
You are configuring an Azure SQL Database for a real-time analytics application. What happens if you disable geo-replication?
AData will be backed up locally
BRead replicas will be accessible
CImmediate data loss occurs
DGeo-redundancy is disabled
Explanation
Disabling geo-replication stops geo-redundancy, but data remains intact locally; therefore, other options are incorrect.
Q136
Which Azure service is best for real-time analytics on streaming data?
AAzure Stream Analytics
BAzure Data Factory
CAzure Synapse Analytics
DAzure Blob Storage
Explanation
Azure Stream Analytics is specifically designed for real-time analysis of streaming data; the others are not optimized for this use case.
Q137
A company needs to securely share Jupyter notebooks with external partners. What Azure service should they consider?
AAzure Notebooks
BAzure Databricks
CAzure Functions
DAzure App Service
Explanation
Azure Databricks allows for secure collaboration and sharing of Jupyter notebooks; the other options do not focus on this capability.
Q138
What happens when you assign too many resources to an Azure Machine Learning workspace?
AWorkspace becomes unstable
BDeployment is automatically scaled
CYou incur higher costs
DWorkspace performs optimally
Explanation
Allocating too many resources can result in excessive costs without improving performance; the other options are misleading.