This table lists the key features for PolyBase and the products in which they're available.

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/polybase/polybase-versioned-feature-summary

Anomalies can be identified by routing data via IoT Hub to a built-in ML model in Azure Stream Analytics Reference:
https://docs.microsoft.com/en-us/learn/modules/data-anomaly-detection-using-azure-iot-hub/
https://docs.microsoft.com/en-us/azure/stream-analytics/azure-synapse-analytics-output

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Explanation:
Cloud Provider Infrastructure Logs.
Databricks logging allows security and admin teams to demonstrate conformance to data governance standards within or from a Databricks workspace. Customers, especially in the regulated industries, also need records on activities like:
* User access control to cloud data storage
* Cloud Identity and Access Management roles
* User access to cloud network and compute
Azure Databricks offers three distinct workloads on several VM Instances tailored for your data analytics workflow-the Jobs Compute and Jobs Light Compute workloads make it easy for data engineers to build and execute jobs, and the All-Purpose Compute workload makes it easy for data scientists to explore, visualize, manipulate, and share data and insights interactively.
Reference:
https://databricks.com/blog/2020/03/25/trust-but-verify-with-databricks.html

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Explanation:
B: Dynamic Thresholds continuously learns the data of the metric series and tries to model it using a set of algorithms and methods. It detects patterns in the data such as seasonality (Hourly / Daily / Weekly), and is able to handle noisy metrics (such as machine CPU or memory) as well as metrics with low dispersion (such as availability and error rate).
D: Alert threshold sensitivity is a high-level concept that controls the amount of deviation from metric behavior required to trigger an alert.
Low - The thresholds will be loose with more distance from metric series pattern. An alert rule will only trigger on large deviations, resulting in fewer alerts.
Incorrect Answers:
A: High - The thresholds will be tight and close to the metric series pattern. An alert rule will be triggered on the smallest deviation, resulting in more alerts.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-dynamic-thresholds

Explanation/Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/performance/monitoring-performance-by-using-the- query-store