Section: [none]
Explanation:
Box 1: Column encryption Key
Always Encrypted uses two types of keys: column encryption keys and column master keys. A column
encryption key is used to encrypt data in an encrypted column. A column master key is a key-protecting key
that encrypts one or more column encryption keys.
Incorrect Answers:
TDE encrypts the storage of an entire database by using a symmetric key called the Database Encryption Key
(DEK).
Box 2: Deterministic
Always Encrypted is a feature designed to protect sensitive data, such as credit card numbers or national
identification numbers (for example, U.S. social security numbers), stored in Azure SQL Database or SQL
Server databases. Always Encrypted allows clients to encrypt sensitive data inside client applications and never
reveal the encryption keys to the Database Engine (SQL Database or SQL Server).
Always Encrypted supports two types of encryption: randomized encryption and deterministic encryption.
Deterministic encryption always generates the same encrypted value for any given plain text value. Using
deterministic encryption allows point lookups, equality joins, grouping and indexing on encrypted columns.
Incorrect Answers:
* Randomized encryption uses a method that encrypts data in a less predictable manner. Randomized
encryption is more secure, but prevents searching, grouping, indexing, and joining on encrypted columns.
* Transparent data encryption (TDE) helps protect Azure SQL Database, Azure SQL Managed Instance, and
Azure Synapse Analytics against the threat of malicious offline activity by encrypting data at rest. It performs
real-time encryption and decryption of the database, associated backups, and transaction log files at rest
without requiring changes to the application.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/always-encrypted-database-
engine

Section: [none]
Explanation:
The rows per distribution can vary up to 10% without a noticeable impact on performance. Here the distribution varies more than 10%. It is skewed.
Note: SHOWSPACEUSED displays the number of rows, disk space reserved, and disk space used for a specific table, or for all tables in a Azure Synapse Analytics or Parallel Data Warehouse database.
This is a very quick and simple way to see the number of table rows that are stored in each of the 60 distributions of your database. Remember that for the most balanced performance, the rows in your distributed table should be spread evenly across all the distributions.
ROUND_ROBIN distributed tables should not be skewed. Data is distributed evenly across the nodes by design.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables- distribute
https://github.com/rgl/azure-content/blob/master/articles/sql-data-warehouse/sql-data-warehouse-manage- distributed-data-skew.md Testlet 1 This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam.
You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is a renewable energy company that has a main office in Boston. The main office hosts a sales department and the primary datacenter for the company.
Physical Locations
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.
Existing Environment
Network Environment
The manufacturing and research datacenters connect to the primary datacenter by using a VPN.
The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering.
The private peering connects to an Azure virtual network named HubVNet.
Identity Environment
Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com.
All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.
Database Environment
The sales department has the following database workload:
* An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1-TB databases.
* A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1.
SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
* An application named SalesSQLDb1App1 uses SalesSQLDb1.
The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1 Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.
Licensing Agreement
Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.
Current Problems
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.
Requirements
Planned Changes
Litware plans to implement the following changes:
* Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
* Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01.
ResearchDB1 will contain Personally Identifiable Information (PII) data.
* Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
* Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
* Migrate the SERVER1 databases to the Azure SQL Database platform.
Technical Requirements
Litware identifies the following technical requirements:
* Maintenance tasks must be automated.
* The 30 new databases must scale automatically.
* The use of an on-premises infrastructure must be minimized.
* Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
* All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
Security and Compliance Requirements
Litware identifies the following security and compliance requirements:
* Store encryption keys in Azure Key Vault.
* Retain backups of the PII data for two months.
* Encrypt the PII data at rest, in transit, and in use.
* Use the principle of least privilege whenever possible.
* Authenticate database users by using Active Directory credentials.
* Protect Azure SQL Database instances by using database-level firewall rules.
* Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.
Business Requirements
Litware identifies the following business requirements:
* Meet an SLA of 99.99% availability for all Azure deployments.
* Minimize downtime during the migration of the SERVER1 databases.
* Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
* Once all requirements are met, minimize costs whenever possible.

Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-openrowset