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NEW QUESTION: 1
注：この質問は、同じシナリオを提示する一連の質問の一部です。 シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。 一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このシナリオで質問に答えた後、その質問に戻ることはできません。 その結果、これらの質問はレビュー画面に表示されません。
階層構造を持つAzure Databricksワークスペースを作成する予定です。 ワークスペースには、次の3つのワークロードが含まれます。
* A workload for data engineers who will use Python and SQL
* A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL
* A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
* The data engineers must share a cluster.
* The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
* All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. No
B. Yes
Answer: B
Explanation:
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language: Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html

NEW QUESTION: 2
You develop a Microsoft SQL Server 2012 database that contains a table named Products. The Products table has the following definition:

You need to create an audit record only when either the RetailPrice or WholeSalePrice column is updated.
Which Transact-SQL query should you use?
A. CREATE TRIGGER TrgPriceChange ON Products FOR UPDATE AS IF UPDATE(RetailPrice) OR UPDATE(WholeSalePrice) - - Create Audit Records
B. CREATE TRIGGER TrgPriceChange ON Products FOR UPDATE AS IF COLUMNS_UPDATED(RetailPrice, WholesalePrice) - - Create Audit Records
C. CREATE TRIGGER TrgPriceChange ON Products FOR UPDATE AS IF CCLUMNS_CHANGED(RetailPrice, WholesalePrice) - - Create Audit Records
D. CREATE TRIGGER TrgPriceChange ON Products FOR UPDATE AS IF EXISTS(SELECT RetailPrice from inserted) OR EXISTS (SELECT WholeSalePnce FROM inserted) - - Create Audit Records
Answer: A
Explanation:
Reference: http://msdn.microsoft.com/en-us/library/bb510663.aspx
Reference: http://msdn.microsoft.com/en-us/library/ms186329.aspx

NEW QUESTION: 3
会社は、フロントエンドでAmazon API Gatewayを使用してウェブサイトをホストしています。最近、ウェブサイトに大量のトラフィックがあり、会社は認証されたトラフィックのみを許可することでアクセスを制御したいと考えています。
会社は、認証されたユーザーのみにアクセスを制限する必要がありますか？ （2つ選択します。）
A. X.509証明書によるトラフィックの認証を許可します。
B. API Gatewayを介したトラフィックを制限します。
C. AWS 1AMでユーザーを許可するアクセス許可を割り当てます。
D. Amazon Cognitoを介して認証されたユーザーを許可します。
E. AWS KMSをデプロイしてユーザーを識別します。
Answer: C,D

NEW QUESTION: 4
You currently have an on-premises Oracle database and have decided to leverage AWS and use Aurora. You need to do this as quickly as possible. How do you achieve this? Choose the correct answer.
A. Use AWS Direct Connect with AWS Data Migration Service and immediately migrate the database schema, no provisioning of a target database is needed.
B. Use AWS Data Pipeline and create a target database, migrate the database schema, set up the data replication process, initiate the full load and a subsequent change data capture and apply, and conclude with a switchover of your production environment to the new database once the target database is caught up with the source database.
C. Use AWS Data Migration Services and create a target database, migrate the database schema, set up the data replication process, initiate the full load and a subsequent change data capture and apply, and conclude with a switchover of your production environment to the new database once the target database is caught up with the source database.
D. It is not possible to migrate an on premises database to AWS at this time.
Answer: C
Explanation:
AWS Database Migration Service supports both homogenous and heterogeneous data replication. Supported database sources include: (1) Oracle, (2) SQL Server, (3) MySQL, (4) Amazon Aurora (5) PostgreSQL and (6) SAP ASE. All sources are supported on-premises, in EC2, and RDS except Amazon Aurora which is available only in RDS. RDS SQL Server is supported in bulk extract mode only; the change data capture mode (CDC) is not yet supported.
CDC is supported for on-premises and EC2 SQL Server. Amazon Aurora is only available in RDS. Supported database targets include: (1) Amazon Aurora, (2) Oracle, (3) SQL Server, (4) MySQL, (5) PostgreSQL and (6) SAP ASE. All Oracle, SQL Server, MySQL and Postgres targets are supported on-premises, in EC2 and RDS while SAP ASE is supported only in EC2. Either the source or the target database (or both) need to reside in RDS or on EC2. Replication between on-premises to on-premises databases is not supported. During a typical simple database migration, you will create a target database, migrate the database schema, set up the data replication process, initiate the full load and a subsequent change data capture and apply, and conclude with a switchover of your production environment to the new database once the target database is caught up with the source database.
Reference:
https://aws.amazon.com/dms/faqs/