Study Guide for Microsoft 70-463 Certification Exam

1. STUDY GUIDE FOR MICROSOFT 70-463 CERTIFICATION EXAM 70-463 Practice Test and Preparation Guide GET COMPLETE DETAIL ON 70-463 EXAM GUIDE TO CRACK 2012/2014. YOU CAN COLLECT ALL INFORMATION ON 70-463 TUTORIAL, PRACTICE TEST, BOOKS, STUDY MATERIAL, EXAM QUESTIONS, AND SYLLABUS. FIRM YOUR KNOWLEDGE ON 2012/2014 AND GET READY TO CRACK 70-463 CERTIFICATION. EXPLORE ALL INFORMATION ON 70-463 EXAM WITH THE NUMBER OF QUESTIONS, PASSING PERCENTAGE, AND TIME DURATION TO COMPLETE THE TEST.

2. www.analyticsexam.com 70-463 Practice Test 70-463 is Implementing a Data Warehouse with Microsoft SQL Server 2012/2014– Certification offered by the Microsoft. Since you want to comprehend the 70-463 Question Bank, I am assuming you are already in the manner of preparation for your 70-463 Certification Exam. To prepare for the actual exam, all you need is to study the content of this exam questions. You can recognize the weak area with our premium 70-463 practice exams and help you to provide more focus on each syllabus topic covered. This method will help you to increase your confidence to pass the Microsoft Implementing a Data Warehouse with Microsoft SQL Server certification with a better score. MCSA - SQL Server 2012/2014 1

3. www.analyticsexam.com 70-463 Exam Details Implementing a Data Warehouse with Microsoft SQL Server 2012/2014 Exam Name Exam Code 70-463 Exam Duration 120 minutes Exam Questions 40-60 Passing Score 700 out of 1000 Exam Price $165 (USD) 20463C: Implementing a Data Warehouse with Microsoft SQL Server (five days) Books Exam Registration Pearson VUE Sample Questions Implementing a Data Warehouse with Microsoft SQL Server Certification Sample Question Implementing a Data Warehouse with Microsoft SQL Server Certification Practice Exam Practice Exam MCSA - SQL Server 2012/2014 2

4. www.analyticsexam.com 70-463 Exam Syllabus Objective Details Design and implement a data warehouse (10–15%) Design and implement dimensions - Design shared/conformed dimensions; determine if you need support for slowly changing dimensions; determine attributes; design hierarchies; determine whether you need star or snowflake schema; determine the granularity of relationship with fact tables; determine the need for auditing or lineage; determine keys (business transactional or your own data warehouse/surrogate keys); implement dimensions; implement data lineage of a dimension table Design and implement fact tables - Design a data warehouse that supports many to many relationships; appropriately index a fact table; using columnstore indexes; partitioning; additive measures; semi additive measures; non additive measures; implement fact tables; determining the loading method for the fact tables; implement data lineage of a fact table; design summary aggregation tables Extract and transform data (20–25%) Define connection managers - Plan the configuration of connection managers; package level or project level connection manager; define a connection string; parameterization of connection strings Design data flow - Define data sources and destinations; distinguish blocking and non- blocking transformations; use different methods to pull out changed data from data sources; determine appropriate data flow components; determine the need for supporting Slowly Changing Dimensions (SCD); determine whether to use SQL Joins or SSIS lookup or merge join transformations; batch processing versus row by row processing; determine the appropriate transform to use for a specific task; determine the need and method for identity mapping and deduplicating; fuzzy lookup, fuzzy grouping and Data Quality Services (DQS) transformation; determine the need for custom data sources, destinations, and transforms; determine what to do with erroneous rows; determine auditing needs; trusted/authoritative data sources, including warehouse metadata; extracting only changed rows MCSA - SQL Server 2012/2014 3

5. www.analyticsexam.com Implement data flow - Debug data flow; use the appropriate data flow components; SQL / SSIS data transformation; create SSIS packages that support slowly changing dimensions; use the lookup task in SSIS; map identities using SSIS fuzzy lookup (advanced); specify a data source and destination; use data flows; different categories of transformations; read, transform and load data; understand which transforms to use to accomplish a specific business task; data correction transformation; performance tune an SSIS dataflow; optimize Integration Services packages for speed of execution; maintain data integrity, including good data flow Manage SSIS package execution - Schedule package execution by using SQL Server Agent; execute packages by using DTEXEC; execute packages by using SQL Server Management Studio; implement package execution; plan and design package execution strategy; use PowerShell to execute script; monitor the execution using Management Studio; use DTEXECUI; ETL restartability Implement script tasks in SSIS - Determine if it is appropriate to use a script task; extending the capability of a control flow; perform a custom action as needed (not on every row) during a control flow Load data (25–30%) Design control flow - Determine control flow; determine containers and tasks needed; determine precedence constraints; design an SSIS package strategy with rollback, staging and transaction control; decide between one package or multiple packages; determine event handlers; determine variables; determine parameters on package and project level; determine connection managers and whether they are package or project level; determine the need for custom tasks; determine how much information you need to log from a package; determine the need for checkpoints; determine security needs Implement package logic by using SSIS variables and parameters - User variables; variable scope, data type; implement parameterization of properties using variables; using variables in precedence constraints; referring to SSIS system variables; design dynamic SSIS packages; package configurations (file or SQL tables); expressions; package and project parameters; project level connection managers; variables; implement dynamic package behavior; configure packages in SSIS for different environments, package configurations (xmlconfiguration file, SQLServer table, registry entry; parent package variables, environment variable); parameters (package and project level); project connection managers; property expressions (use expressions for connection managers) MCSA - SQL Server 2012/2014 4

6. www.analyticsexam.com Implement control flow - Checkpoints; debug control flow; implement the appropriate control flow task to solve a problem; data profiling; use sequence containers and loop containers; manage transactions in SSIS packages; managing parallelism; using precedence constraint to control task execution sequence; creating package templates; using the execute package task Implement data load options - Implement a full and incremental data load strategy; plan for an incremental update of the relational Data Mart; plan for loads into indexed tables; configure appropriate bulk load options; select an appropriate load technique (SSIS Destination versus T-SQL) and load partitioned tables Implement script component s in SSIS - Create an SSIS package that handles SCD Type 2 changes without using the SCD component; work with script component in SSIS; deciding when it is appropriate to use a script component versus a built in; source, transformation, destination component; use cases: web service source and destination, getting the error message Configure and deploy SSIS solutions (20–25%) Troublesho ot data integration issues - Performance issues; connectivity issues; execution of a task or transformation failed; logic issues; demonstrate awareness of the new SSIS logging infrastructure; troubleshoot a failed package execution to determine the root cause of failure; troubleshoot SSIS package failure from an invalid datatype; implement break points; data viewers; profile data with different tools; batch cleanup Install and maintain SSIS component s - Software installation (IS, management tools); development box and server; install specifics for remote package execution; planning for installation (32- versus 64-bit); upgrade; provisioning the accounts; creating the catalog Implement auditing, logging, and event handling - Audit package execution by using system variables; propagate events; use log providers; log an SSIS execution; create alerting and notification mechanisms; use Event Handlers in SSIS to track ETL events and errors; implement custom logging Deploy SSIS solutions - Create and configure an SSIS catalog; deploy SSIS packages by using the deployment utility; deploy SSIS packages to SQL or file system locations; validate deployed packages; deploy packages on multiple servers; how to install custom components and tasks; deploy SSIS packages by using DTUTIL MCSA - SQL Server 2012/2014 5

7. www.analyticsexam.com Configure SSIS security settings - SSIS catalog database roles; package protection levels; secure Integration Services packages that are deployed at the file system; secure Integration Services parameters, configuration Build data quality solutions (15–20%) Install and maintain data quality services - Installation prerequisites; .msi package; adding users to the DQ roles; identity analysis, including data governance Implement master data manageme nt solutions - Install Master Data Services (MDS); implement MDS; create models, entities, hierarchies, collections, attributes; define security roles; import/export; subscriptions Create a data quality project to clean data - Profile Online Transaction Processing (OLTP) and other source systems; data quality knowledge base management; create data quality project; use data quality client; improve data quality; identity mapping and deduplicating; handle history and data quality; manage data quality/cleansing MCSA - SQL Server 2012/2014 6

8. www.analyticsexam.com 70-463 Questions and Answers Set 01. Which of the following permissions are granted by default to any SSISDB user? (Choose all that apply.) a) Permission to create folders in the SSISDB catalog b) Permission to deploy SSIS projects to the SSISDB catalog c) Permission to modify SSIS projects that they themselves have deployed d) Permission to create environments Answer: b, c 02. Why would you use indexed views? (Choose all that apply.) a) To speed up queries that aggregate data b) To speed up data load c) To speed up selective queries d) To speed up queries that involve multiple joins Answer: a, d MCSA - SQL Server 2012/2014 7

9. www.analyticsexam.com 03. Your company has several line-of-business applications. The applications use a server that has SQL Server installed and contains several databases. You need that the business applications can access curated and validated data from the databases. Which features should you deploy to the server? a) Data Quality Services (DQS) b) SQL Server Analysis Services (SSAS) dimension hierarchies. c) SQL Server Integration Services (SSIS) d) Master Data Services (MDS) subscriptions. Answer: d 04. You maintain a SQL Server Integration Services (SSIS) package. The package was developed by using SQL Server 2008 Business Intelligence Development Studio (BIDS). The package includes custom scripts that must be upgraded. You need to upgrade the package to SQL Server 2012. Which tool should you use? a) SSIS Upgrade Wizard in SQL Server 2008 BIDS b) SSIS Upgrade Wizard in SQL Server Data Tools c) SQL Server DTExecUI utility (dtexecui.exe) d) SQL Server dtexec utility (dtexec.exe) Answer: b MCSA - SQL Server 2012/2014 8

10. www.analyticsexam.com 05. Which DQS client tools are available with SQL Server 2012? (Choose all that apply.) a) MDS Excel Add-in b) Data Quality Client c) SSIS DQS Cleansing Transformation d) SQL Server Data Tools e) DQS Microsoft Visio Add-in Answer: a, b, c 06. How can you influence DQS matching rules? (Choose all that apply.) a) You can define the weight of each domain. b) You can define the overall minimum matching score for rows to be considered as a match. c) You can select a string similarity algorithm. d) You can define similarity tolerance for numbers and dates. Answer: a, b, d MCSA - SQL Server 2012/2014 9

11. www.analyticsexam.com 07. What is an inferred member? a) A row in a fact table added during dimension load b) A row with aggregated values c) A row in a dimension added during fact table load d) A computed column in a fact table Answer: c 08. After you insert data to staging tables, how can you initiate the staging process? (Choose all that apply.) a) By executing the staging procedures b) By starting the InitiateStaging SQL Server Agent job created when you installed MDS c) By using the Master Data Manager application d) By using the MDSModelDeploy command prompt utility Answer: a, c MCSA - SQL Server 2012/2014 10

12. www.analyticsexam.com 09. You use Excel to add a batch of leaf-level members to your MDS entity. You are concerned about the possibility of adding duplicate data. What should you do to find the duplicates in the most efficient way? a) Use a DQS matching knowledge base to check for the duplicates. b) Manually review existing members and compare them to members you want to add from Excel. c) Use the SSIS Fuzzy Lookup transformation to check for the duplicates. d) Use the T-SQL SOUNDEX() function to check for the duplicates. Answer: a 10. In your SSIS package, you need to set the properties of several tasks based on the information available about the run time environment. Each of the properties you need to compute can be calculated by using a mathematical expression. What would be the most appropriate method? a) Use the Expression Builder to build and test the expression, and then copy it to all of the corresponding task definitions. b) Place an Expression Task into the control flow, preceding each task whose properties need to be determined dynamically. c) Use as many Expression tasks as necessary to compute as many variables as there are different calculations, and then use the variables to assign the values to the corresponding tasks. d) Use a single Expression task and store all required computed values in a row set (Object) variable to be used in property expressions to configure the corresponding tasks. Answer: c MCSA - SQL Server 2012/2014 11

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