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NEW QUESTION: 1
Which two statements regarding candidate readiness are true?
A. You can select the candidate readiness so that it displays on the succession plan and in the analytics to compare candidates.
B. Readiness is specific to each succession plan and feeds the readiness on the worker profile.
C. Candidates can have different readiness level ratings for each plan on which they are candidates.
D. The readiness level for succession plans is the same as the Advancement Readiness selection on the Career Planning portrait card.
Answer: A,C
Explanation:
Explanation/Reference:
Reference: https://docs.oracle.com/cloud/latest/common/FAUTR/FAUTR1433899.htm

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some questions sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You need to configure data encryption for external applications.
Solution:
1. Access the Always Encrypted Wizard in SQL Server Management Studio
2. Select the column to be encrypted
3. Set the encryption type to Randomized
4. Configure the master key to use the Windows Certificate Store
5. Validate configuration results and deploy the solution
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Use the Azure Key Vault, not the Windows Certificate Store, to store the master key.
Note: The Master Key Configuration page is where you set up your CMK (Column Master Key) and select the key store provider where the CMK will be stored. Currently, you can store a CMK in the Windows certificate store, Azure Key Vault, or a hardware security module (HSM).

References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-always-encrypted-azure-key-vault
Topic 3, Litware, inc
Overview
General Overview
Litware, Inc, is an international car racing and manufacturing company that has 1,000 employees. Most employees are located in Europe. The company supports racing teams that complete in a worldwide racing series.
Physical Locations
Litware has two main locations: a main office in London, England, and a manufacturing plant in Berlin, Germany.
During each race weekend, 100 engineers set up a remote portable office by using a VPN to connect the datacentre in the London office. The portable office is set up and torn down in approximately 20 different countries each year.
Existing environment
Race Central
During race weekends, Litware uses a primary application named Race Central. Each car has several sensors that send real-time telemetry data to the London datacentre. The data is used for real-time tracking of the cars.
Race Central also sends batch updates to an application named Mechanical Workflow by using Microsoft SQL Server Integration Services (SSIS).
The telemetry data is sent to a MongoDB database. A custom application then moves the data to databases in SQL Server 2017. The telemetry data in MongoDB has more than 500 attributes. The application changes the attribute names when the data is moved to SQL Server 2017.
The database structure contains both OLAP and OLTP databases.
Mechanical Workflow
Mechanical Workflow is used to track changes and improvements made to the cars during their lifetime.
Currently, Mechanical Workflow runs on SQL Server 2017 as an OLAP system.
Mechanical Workflow has a named Table1 that is 1 TB. Large aggregations are performed on a single column of Table 1.
Requirements
Planned Changes
Litware is the process of rearchitecting its data estate to be hosted in Azure. The company plans to decommission the London datacentre and move all its applications to an Azure datacentre.
Technical Requirements
Litware identifies the following technical requirements:
* Data collection for Race Central must be moved to Azure Cosmos DB and Azure SQL Database. The data must be written to the Azure datacentre closest to each race and must converge in the least amount of time.
* The query performance of Race Central must be stable, and the administrative time it takes to perform optimizations must be minimized.
* The datacentre for Mechanical Workflow must be moved to Azure SQL data Warehouse.
* Transparent data encryption (IDE) must be enabled on all data stores, whenever possible.
* An Azure Data Factory pipeline must be used to move data from Cosmos DB to SQL Database for Race Central. If the data load takes longer than 20 minutes, configuration changes must be made to Data Factory.
* The telemetry data must migrate toward a solution that is native to Azure.
* The telemetry data must be monitored for performance issues. You must adjust the Cosmos DB Request Units per second (RU/s) to maintain a performance SLA while minimizing the cost of the Ru/s.
Data Masking Requirements
During rare weekends, visitors will be able to enter the remote portable offices. Litware is concerned that some proprietary information might be exposed. The company identifies the following data masking requirements for the Race Central data that will be stored in SQL Database:
* Only show the last four digits of the values in a column named SuspensionSprings.
* Only Show a zero value for the values in a column named ShockOilWeight.

NEW QUESTION: 3
A company wants to migrate a high performance computing (HPC) application and data from on-premises to the AWS Cloud The company uses tiered storage on premises with hot high-performance parallel storage to support the application during periodic runs of the application and more economical cold storage to hold the data when the application is not actively running Which combination of solutions should a solutions architect recommend to support the storage needs of the application? (Select TWO )
A. Amazon FSx for Lustre for high-performance parallel storage
B. Amazon EFS for cold data storage
C. Amazon FSx for Windows for high-performance parallel storage
D. Amazon S3 for cold data storage
E. Amazon S3 for high-performance parallel storage
Answer: A,D
Explanation:
Explanation
Amazon S3
Companies today need the ability to simply and securely collect, store, and analyze their data at a massive scale. Amazon Simple Storage Service (S3) is object storage built to store and Amazon Web Services - AWS Partner Network High Performance Computing Storage Options retrieve any amount of data from anywhere - websites and mobile applications, corporate applications, and data from Internet of Things (IoT) sensors or devices3. Amazon S3 delivers 99.999999999% durability, and stores data for millions of applications used by market leaders in every industry. Amazon S3 also provides comprehensive security and compliance capabilities that meet even the most stringent regulatory requirements, giving customers flexibility in the way they manage data for cost optimization, access control, and compliance.
Amazon S3's query-in-place functionality allows you to run powerful analytics directly on your data at rest in Amazon S3. Lastly, Amazon S3 is the most supported cloud storage service available, with solutions available from a large community of third-party solution providers, systems integrator partners, and other AWS services.
Amazon S3 is a highly scalable and high durable storage platform for HPC applications that support an object interface. Amazon S3 includes many features, such as lifecycle management, that allow you to move less frequently accessed down to lower storage tiers for more cost effective solution4. Even if your HPC application does not directly support Amazon S3, you can use Amazon S3 as a data repository to hold your dataset, which can be ingested into your processing file system. There also are APN Partner solutions that provide traditional filesystem access via SMB, NFS, and POSIX clients while using Amazon S3 as part of their solution for data storage and/or data protection.
Amazon FSx for Lustre
Amazon FSx for Lustre is a new, fully managed service provided by AWS based on the Lustre file system.
Amazon FSx for Lustre provides a high-performance file system optimized for fast processing of workloads such as machine learning, high performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA).
FSx for Lustre allows customers to create a Lustre filesystem on demand and associate it to an Amazon S3 bucket. As part of the filesystem creation, Lustre reads the objects in the buckets and adds that to the file system metadata. Any Lustre client in your VPC is then able to access the data, which gets cached on the high-speed Lustre filesystem. This is ideal for HPC workloads, because you can get the speed of an optimized Lustre file system without having to manage the complexity of deploying, optimizing, and managing the Lustre cluster.
Additionally, having the filesystem work natively with Amazon S3 means you can shut down the Lustre filesystem when you don't need it but still access objects in Amazon S3 via other AWS Services. FSx for Clustre also allows you to also write the output of your HPC job back to Amazon S3
https://d1.awsstatic.com/whitepapers/AWS%20Partner%20Network_HPC%20Storage%20Options_2019_FINAL

NEW QUESTION: 4
Autonomous Data Warehouse（ADW）データベースを16個の有効なOCPUでプロビジョニングし、アプリケーションのコンシューマーグループを構成する必要があります。
各アプリケーションのセッション数を決定する場合、どちらが正しいですか？ （2つ選択してください。）
A. HIGHコンシューマグループにSQLステートメントがない場合、MEDIUMおよびLOWコンシューマグループは最大16の同時SQLステートメントを実行できます。
B. HIGHコンシューマグループは、MEDIUMおよびLOWコンシューマグループにSQLステートメントがない場合に限り、最大16の同時SQLステートメントを実行できます。
C. HIGHコンシューマグループに0個のSQLステートメントがある場合、MEDIUMコンシューマグループは20個の同時SQLステートメントを実行できます
D. MEDIUMコンシューマーグループに0のSQLステートメントがある場合、HIGHコンシューマーグループは3つの同時SQLステートメントを実行できます。
E. HIGHコンシューマグループは、MEDIUMおよびLOWコンシューマグループでそれぞれ32の同時SQLステートメントに加えて、最大16の同時SQLステートメントを実行できます。
Answer: C,D
Explanation:
References:
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/user/connect-predefined.html#GUID-9747539B-FD46-44F1-8FF8-F5AC650F15BE

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