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NEW QUESTION: 1
A system administrator has created a cluster containing two servers in a same node. The administrator did not select the option Generate unique HTTP ports during the creation of the cluster members. After the cluster creation, the administrator changed the HTTP port of the second cluster member to 9081.
Testing the servers using the snoop servlet directly to the server's HTTP port, the administrator got the following error message for the second server:
How can the administrator fix this problem?
A. Edit the server.xmlfor the second server and add the port 9081.
B. Regenerate and propagate the HTTP plug-in.
C. Add the port 9081 to the default_hostalias.
D. Create a new virtual host alias at the cell level for the port 9081.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Problem(Abstract)
When setting up IBM Cognos within IBM WebSphere, the URI is not accessible. The error message when trying the http://<server>:<was port>/p2pd/servlet/dispatch is SRVE0255E: A WebGroup/Virtual Host to handle /p2pd/servlet/dispatch has not been defined.
Symptom
Unable to start IBM Cognos Business Intelligence
Cause
The virtual host does not contain IBM WebSphere Port that the Application server is listening on. This may be one of several reasons.
The Virtual Host mapping for the Application Server and Enterprise Application do not match.
The Application Server port is listed in 2 different Virtual Hosts
The Enterprise Application deployment failed
References: http://www-01.ibm.com/support/docview.wss?uid=swg21438842
NEW QUESTION: 2
You need to process and query ingested Tier 9 data.
Which two options should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Transact-SQL statements
B. Azure Event Grid
C. Azure Notification Hub
D. Azure Cache for Redis
E. Azure Stream Analytics
F. Apache Kafka statements
Answer: B,E
Explanation:
Explanation
Event Hubs provides a Kafka endpoint that can be used by your existing Kafka based applications as an alternative to running your own Kafka cluster.
You can stream data into Kafka-enabled Event Hubs and process it with Azure Stream Analytics, in the following steps:
* Create a Kafka enabled Event Hubs namespace.
* Create a Kafka client that sends messages to the event hub.
* Create a Stream Analytics job that copies data from the event hub into an Azure blob storage.
Scenario:
Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company's main office References:
https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-kafka-stream-analytics
Topic 1, Contoso Ltd
Overview
Current environment
Contoso relies on an extensive partner network for marketing, sales, and distribution. Contoso uses external companies that manufacture everything from the actual pharmaceutical to the packaging.
The majority of the company's data reside in Microsoft SQL Server database. Application databases fall into one of the following tiers:
The company has a reporting infrastructure that ingests data from local databases and partner services.
Partners services consists of distributors, wholesales, and retailers across the world. The company performs daily, weekly, and monthly reporting.
Requirements
Tier 3 and Tier 6 through Tier 8 application must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
The solution must support migrating databases that support external and internal application to Azure SQL Database. The migrated databases will be supported by Azure Data Factory pipelines for the continued movement, migration and updating of data both in the cloud and from local core business systems and repositories.
Tier 7 and Tier 8 partner access must be restricted to the database only.
In addition to default Azure backup behavior, Tier 4 and 5 databases must be on a backup strategy that performs a transaction log backup eve hour, a differential backup of databases every day and a full back up every week.
Back up strategies must be put in place for all other standalone Azure SQL Databases using Azure SQL-provided backup storage and capabilities.
Databases
Contoso requires their data estate to be designed and implemented in the Azure Cloud. Moving to the cloud must not inhibit access to or availability of data.
Databases:
Tier 1 Database must implement data masking using the following masking logic:
Tier 2 databases must sync between branches and cloud databases and in the event of conflicts must be set up for conflicts to be won by on-premises databases.
Tier 3 and Tier 6 through Tier 8 applications must use database density on the same server and Elastic pools in a cost-effective manner.
Applications must still have access to data from both internal and external applications keeping the data encrypted and secure at rest and in transit.
A disaster recovery strategy must be implemented for Tier 3 and Tier 6 through 8 allowing for failover in the case of a server going offline.
Selected internal applications must have the data hosted in single Microsoft Azure SQL Databases.
* Tier 1 internal applications on the premium P2 tier
* Tier 2 internal applications on the standard S4 tier
Reporting
Security and monitoring
Security
A method of managing multiple databases in the cloud at the same time is must be implemented to streamlining data management and limiting management access to only those requiring access.
Monitoring
Monitoring must be set up on every database. Contoso and partners must receive performance reports as part of contractual agreements.
Tiers 6 through 8 must have unexpected resource storage usage immediately reported to data engineers.
The Azure SQL Data Warehouse cache must be monitored when the database is being used. A dashboard monitoring key performance indicators (KPIs) indicated by traffic lights must be created and displayed based on the following metrics:
Existing Data Protection and Security compliances require that all certificates and keys are internally managed in an on-premises storage.
You identify the following reporting requirements:
* Azure Data Warehouse must be used to gather and query data from multiple internal and external databases
* Azure Data Warehouse must be optimized to use data from a cache
* Reporting data aggregated for external partners must be stored in Azure Storage and be made available during regular business hours in the connecting regions
* Reporting strategies must be improved to real time or near real time reporting cadence to improve competitiveness and the general supply chain
* Tier 9 reporting must be moved to Event Hubs, queried, and persisted in the same Azure region as the company's main office
* Tier 10 reporting data must be stored in Azure Blobs
Issues
Team members identify the following issues:
* Both internal and external client application run complex joins, equality searches and group-by clauses.
Because some systems are managed externally, the queries will not be changed or optimized by Contoso
* External partner organization data formats, types and schemas are controlled by the partner companies
* Internal and external database development staff resources are primarily SQL developers familiar with the Transact-SQL language.
* Size and amount of data has led to applications and reporting solutions not performing are required speeds
* Tier 7 and 8 data access is constrained to single endpoints managed by partners for access
* The company maintains several legacy client applications. Data for these applications remains isolated form other applications. This has led to hundreds of databases being provisioned on a per application basis
NEW QUESTION: 3
Which of the following would typically be a consideration in a distribution requirements planning (DRP) environment?
A. Whether to use safety lead time or safety stock
B. Whether to aggregate distribution forecasts
C. Where to carry safety stock
D. How to monitor forecast error at central warehouse
Answer: C
NEW QUESTION: 4
AutonomousDatabasesをサポートするAutonomousExadata Infrastructureを使用する場合、Exadataの保守履歴をどこで表示しますか？
A. コア・インフラストラクチャーの下で、コンピューティング、自律型Exadataの順に
B. コア・インフラストラクチャーの下で、次に自律型Exadata
C. 「ソリューションとプラットフォーム」、「プラットフォーム・サービス」、「自律Exadata」の順に
D. 「データベース」、「自律トランザクション処理」、「自律Exadata」の順に
Answer: A
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