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70-467 - Designing Business Intelligence Solutions with Microsoft SQL Server - Dump Information

Vendor : Microsoft
Exam Code : 70-467
Exam Name : Designing Business Intelligence Solutions with Microsoft SQL Server
Questions and Answers : 176 Q & A
Updated On : November 9, 2017
PDF Download Mirror : 70-467 Brain Dump
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70-467 Questions and Answers


QUESTION: 50

Your network contains the following components:
 Microsoft SharePoint Server 2010
 SQL Server 2008 Service Pack 2 (SP2)
 SQL Server 2008 Service Pack 1 (SP1) in Reporting Services Native Mode You need to recommend a solution to upgrade the network to SQL Server 2014. The solution must meet the following requirements:
 Minimize the amount of time that SharePoint services are unavailable.
 Deploy the upgraded Reporting Services instance in Reporting Services SharePoint Integrated Mode.
You upgrade the Database Engine to SQL Server 2014.
Which three actions should you recommend performing next? Each correct answer presents part of the solution.

  1. Install a SQL Server 2014 Reporting Services add-in for SharePoint on all of the front- end Web servers that have SharePoint Server installed.
  2. Perform an in-place upgrade to SQL Server Reporting Services (SSRS) 2014.
  3. Perform a SharePoint 2013 side-by-side upgrade.
  4. Perform a SharePoint 2013 in-place upgrade.
  5. Migrate legacy reports and application data.
  6. Install a new instance of SQL Server Reporting Services (SSRS) 2014.

Answer: A, E, F


QUESTION: 51 DRAG DROP

Several reports are based on the same SQL Server Analysis Services (SSAS) cube. Each report has several datasets defined with complex Multidimensional Expressions (MDX) queries. The company maintains separate development, test and production environments.
The reports are running slowly. You plan to analyze report performance. You have the following requirements:
 Monitor query statistics on the production server with as little server overhead as possible.
 Gather, replay, and analyze statistics on the test server with as little administrative effort as possible.
 Identify the longest-running queries on both servers.
 Document statistics on disk reads on both servers. You need to gather statistics and meet the requirements. Which features should you use?
To answer, drag the appropriate feature or features to the correct location or locations in the answer area. (Use only features that apply.)

Answer:


QUESTION: 52 DRAG DROP

You have a business intelligence (BI) solution that uses SQL Server Integration Services (SSIS). The BI solution includes an extract transformation, and load (ETL) system.
You are designing a logging and auditing strategy for the ETL system.
You need to ensure that an ETL administrator can view the row counts of any data flow path for each package execution.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:


QUESTION: 53 DRAG DROP

You are the administrator of a SQL Server Integration Services (SSIS) catalog. You have access to the original password that was used to create the SSIS catalog.

A full database backup of the SSISDB database on the production server is made each day. The server used for disaster recovery has an operational SSIS catalog. The production server that hosts the SSISDB database fails.
Sensitive data that is encrypted in the SSISDB database must not be lost.
You need to restore the production SSIS catalog to the disaster recovery server. Which three steps should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:


QUESTION: 54 HOTSPOT

You are developing a SQL Server Reporting Services (SSRS) solution.
You plan to create reports based on a SQL Server Analysis Services (SSAS) tabular database configured in DirectQuery mode.

You need to configure a shared data source. Which data source type should you use?
To answer, select the appropriate type from the drop-down list in the answer area.

Answer:


QUESTION: 55

You have a SQL Server Reporting Services (SSRS) 2012 instance integrated with a Microsoft SharePoint 2010 farm.
You need to upgrade to SSRS 2014 with the minimum downtime and hardware requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

  1. Install SSRS 2014 on a new SharePoint farm and migrate content to the new farm.
  2. Migrate SSRS content to new servers that run SSRS 2014.
  3. Migrate SSRS content to a separate instance of SSRS 2014 on the same server.
  4. Perform an in-place upgrade of the SSRS environment.

Answer: D


Explanation:

We cannot do a side-by-side installation (answer C) because that’s not supported in SharePoint mode so an in-place upgrade is the only option that doesn’t require additional servers.
SQL Server 2014 Reporting Services (SSRS) Native mode can be installed side- by-side with a SQL Server 2012 Native mode deployment.

There is no support for side-by-side deployments of SQL Server 2014 Reporting Services (SSRS) SharePoint mode and any previous versions of SharePoint mode components.

QUESTION: 56.

You are designing a partitioning strategy for a SQL Server Analysis Services (SSAS) cube. New data is loaded in real-time into the data warehouse that feeds the cube. Between 10 million and 15 million rows of data are loaded into the main fact table each day from a Microsoft Azure SQL Database.
You have the following requirements:
 Maximize cube query performance during business hours.
 Ensure that data is available in the cube as soon as possible after it is loaded into the data warehouse.
You need to design a partitioning strategy that meets the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

  1. Partition the cube by day for history, using hybrid OLAP (HOLAP) storage mode. Create a daily partition that uses multidimensional OLAP (MOLAP) storage mode during the day. Reprocess the partition incrementally during the day.
  2. Partition the cube by week for history. Create a daily partition that uses multidimensional OLAP (MOLAP) storage mode. Process the partition periodically to add new data.
  3. Partition the cube by day for history, using multidimensional OLAP (MOLAP) storage mode. Create a daily partition that uses proactive caching during the day. Reprocess the partition in full MOLAP storage mode at night
  4. Partition the cube by day for history, using multidimensional OLAP (MOLAP) storage mode. Create a daily partition that uses relational OLAP (ROLAP) storage mode during the day. Reprocess the partition in full MOLAP storage mode at night.

Answer: A


Microsoft 70-467 Exam (Designing Business Intelligence Solutions with Microsoft SQL Server) Detailed Information

70-467 - Designing Business Intelligence Solutions with Microsoft SQL Server


70-467 Test Objectives


Plan business intelligence (BI) infrastructure (15–20%)
  • Plan for performance
    • Optimize batch procedures: extract, transform, load (ETL) in SQL Server Integration Services (SSIS)/SQL and processing phase in Analysis Services; configure Proactive Caching within SQL Server Analysis Services (SSAS) for different scenarios; understand performance consequences of named queries in a data source view; analyze and optimize performance, including Multidimensional Expression (MDX) and Data Analysis Expression (DAX) queries; understand the difference between partitioning for load performance versus query performance in SSAS; appropriately index a fact table; optimize Analysis Services cubes in SQL Server Data Tools; create aggregations

  • Plan for scalability
    • Change binding options for partitions; choose the appropriate Multidimensional OLAP (MOLAP), Relational OLAP (ROLAP), and Hybrid OLAP (HOLAP) storage modes

  • Plan and manage upgrades
    • Plan change management for a BI solution

  • Maintain server health
    • Design an automation strategy
Preparation resources
  • Create and manage a local partition
  • Partition storage modes and processing
  • Designing Aggregations (Analysis Services - Multidimensional)
Design BI infrastructure (15–20%)
  • Design a security strategy
    • Configure security and impersonation between SQL Server service, analysis services, and front end; implement Dynamic Dimension Security within a cube; configure security for an extranet environment; configure Kerberos security; design authentication mechanisms; design security tests; build secure solutions end to end; design roles for calculated measures; understand the tradeoffs between regular SSAS security and dynamic security

  • Design a SQL partitioning strategy
    • Choose the proper partitioning strategy for the data warehouse and cube, implement a parallel load to fact tables by using partition switching, use data compression

  • Design a high availability and disaster recovery strategy
    • Design a recovery strategy, back up and restore SSAS databases, back up and restore SSRS databases, move and restore the SSIS Catalog, design an AlwaysON solution

  • Design a logging and auditing strategy
    • Design a new SSIS logging infrastructure (for example, information available through the catalog views), validate data is balancing and reconciling correctly
Preparation resources
  • Granting cube access
  • Connection string properties
  • Partitioned tables and indexes
Design a reporting solution (20–25%)
  • Design a Reporting Services dataset
    • Design appropriate data query parameters, create appropriate SQL queries, create appropriate DAX queries for an application, manage data rights and security, extract data from analysis services by using MDX queries, balance query-based processing versus filter-based processing, manage data sets through the use of stored procedures

  • Manage Excel Services/reporting for SharePoint
    • Configure data refresh schedules for PowerPivot published to SharePoint, publish BI info to SharePoint, use SharePoint to accomplish BI administrative tasks, install and configure Power View, publish PowerPivot and Power View to SharePoint

  • Design a data acquisition strategy
    • Identify the data sources that need to be used to pull in the data, determine the changes (incremental data) in the data source (time window), identify the relationship and dependencies between the data sources, determine who can access which data, determine what data can be retained for how long (regulatory compliance, data archiving, aging), design a data movement strategy, profile source data

  • Plan and manage reporting services configuration
    • Choose the appropriate reporting services requirements (including native mode and SharePoint mode)

  • Design BI reporting solution architecture
    • Linked drill-down reports, drill-through reports, and sub reports; design report migration strategies; access report services API; design code-behind strategies; identify when to use Reporting Services (RS), Report Builder (RB), or Power View; design and implement context transfer when interlinking all types of reports (RS, RB, Power View, Excel); implement BI tools for reporting in SharePoint (Excel Services versus PowerView versus Reporting Services); select a subscription strategy; enable Data Alerts; design map visualization
Preparation resources
  • Configure Windows Authentication on the Report Server
  • Different ways to update data in PowerPivot
  • Add dataset filters, data region filters, and group filters (Report Builder and SSRS)
Design BI data models (30–35%)
  • Design the data warehouse
    • Design a data model that is optimized for reporting; design and build a cube on top; design enterprise data warehouse (EDW) and OLAP cubes; choose between natural keys and surrogate keys when designing the data warehouse; use SQL Server to design, implement, and maintain a data warehouse, including partitioning, slowly changing dimensions (SCD), change data capture (CDC), Index Views, and column store indexes; identify design best practices; implement a many-to-many relationship in an OLAP cube; design a data mart/warehouse in reverse from an Analysis Services cube; implement incremental data load; choose between performing aggregation operations in the SSIS pipeline or the relational engine

  • Design a schema
    • Multidimensional modeling starting from a star or snowflake schema, design relational modeling for a Data Mart

  • Design cube architecture
    • Partition cubes and build aggregation strategies for the separate partitions; design a data model; choose the proper partitioning strategy for the data warehouse and cube; design the data file layout; identify the aggregation method for a measure in a MOLAP cube; performance tune a MOLAP cube using aggregations; design a data source view; design for cube drill-through and write back actions; choose the correct grain of data to store in a measure group; design analysis services processing by using indexes, indexed views, and order by statements

  • Design fact tables
    • Design a data warehouse that supports many to many dimensions with factless fact tables

  • Design BI semantic models
    • Plan for a multidimensional cube; support a many-to-many relationship between tables; choose between multidimensional and tabular, depending on the type of data and workload

  • Design and create MDX calculations
    • Design MDX queries, identify the structures of MDX and the common functions (tuples, sets, TopCount, SCOPE, VisualTotals, and more), create calculated members in an MDX statement, identify which MDX statement would return the required result, implement a custom MDX or logical solution for a pre-prepared case task
Preparation resources
  • Defining a many-to-many relationship
  • Define Relationship dialog box (Analysis Services – multidimensional data)
  • Set aggregation options (Usage-Based Optimization Wizard)
Design an ETL solution (10–15%)
  • Design SSIS package execution
    • Use the new project deployment model; pass values at execution time; share parameters between packages; plan for incremental loads versus full loads; optimize execution by using Balanced Data Distributor (BDD); choose optimal processing strategy (including Script transform, flat file incremental loads, and Derived Column transform)

  • Plan to deploy SSIS solutions
    • Deploy the package to another server with different security requirements, secure integration services packages that are deployed at the file system, demonstrate awareness of SSIS packages/projects and how they interact with environments (including recoverability), decide between performing aggregation operations in the SSIS pipeline or the relational engine, plan to automate SSIS deployment, plan the administration of the SSIS Catalog database

  • Design package configurations for SSIS packages
    • Avoid repeating configuration information entered in SSIS packages, and use configuration files
Preparation resources
  • Data profiling task
  • Create package configurations
  • Deployment of projects and packages


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