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NEW QUESTION: 1
Refer to the exhibit.

Symantec 250-512 Exam
Symantec Data Loss Prevention's four phases of risk reduction model provides a blueprint for identifying and remediating key risk areas without disrupting legitimate business activity.
Which option should be enabled during the baseline phase of policy risk reduction, according to best practices?
A. block response rules
B. auto notification
C. stakeholder notification
D. EDM/IDM detection
Answer: D

NEW QUESTION: 2
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series.
Information and details provided in a question apply only to that question.
You have deployed several GS-series virtual machines (VMs) in Microsoft Azure. You plan to deploy Microsoft SQL Server in an Always On Availability Group. You expect to have less than 1 million IO transaction per month.
You need to recommend a storage solution for the SQL Servers. The solution must minimize costs.
Which storage option should you use?
A. Standard zone redundant blob storage
B. Premium P30 disk storage
C. Standard locally redundant disk storage
D. Standard geo-redundant disk storage
E. Standard locally redundant blob storage
F. Standard geo-redundant blob storage
G. Premium P20 disk storage
H. Premium P10 disk storage
Answer: H
Explanation:
P10 has 500 IOPS per disk, which provides for more than 1 million IOPS per month.
Note: 3600*30* 500 is 54 million IOPS/month.
References: https://azure.microsoft.com/en-us/pricing/details/managed-disks/

NEW QUESTION: 3
How much RAM is required for an EMC Avamar Gen4 utility node?
A. 8 GB
B. 4 GB
C. 12 GB
D. 24 GB
Answer: C

NEW QUESTION: 4
A company plans to use Platform-as-a-Service (PaaS) to create the new data pipeline process. The process must meet the following requirements.
Ingest:
*Access multiple data sources
*Provide the ability to orchestrate workflow
*Provide the capability to run SQL Server Integration Services packages.
Store:
*Optimize storage for big data workloads.
*Provide encryption of data at rest.
*Operate with no size limits.
Prepare and Train:
*Provide a fully-managed and interactive workspace for exploration and visualization.
*Provide the ability to program in R, SQL, Python, Scala, and Java.
*Provide seamless user authentication with Azure Active Directory.
Model & Serve:
*Implement native columnar storage.
*Support for the SQL language
*Provide support for structured streaming.
You need to build the data integration pipeline.
Which technologies should you use? To answer, select the appropriate options in the answer area.

Answer:
Explanation:

Explanation

Ingest: Azure Data Factory
Azure Data Factory pipelines can execute SSIS packages.
In Azure, the following services and tools will meet the core requirements for pipeline orchestration, control flow, and data movement: Azure Data Factory, Oozie on HDInsight, and SQL Server Integration Services (SSIS).
Store: Data Lake Storage
Data Lake Storage Gen1 provides unlimited storage.
Note: Data at rest includes information that resides in persistent storage on physical media, in any digital format. Microsoft Azure offers a variety of data storage solutions to meet different needs, including file, disk, blob, and table storage. Microsoft also provides encryption to protect Azure SQL Database, Azure Cosmos DB, and Azure Data Lake.
Prepare and Train: Azure Databricks
Azure Databricks provides enterprise-grade Azure security, including Azure Active Directory integration.
With Azure Databricks, you can set up your Apache Spark environment in minutes, autoscale and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch and scikit-learn.
Model and Serve: SQL Data Warehouse
SQL Data Warehouse stores data into relational tables with columnar storage.
Azure SQL Data Warehouse connector now offers efficient and scalable structured streaming write support for SQL Data Warehouse. Access SQL Data Warehouse from Azure Databricks using the SQL Data Warehouse connector.
References:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/data-guide/technology-choices/pipeline-orchestration-da
https://docs.microsoft.com/en-us/azure/azure-databricks/what-is-azure-databricks