This is top class certification exam of Microsoft. It is designed by group of Microsoft advanced level official certification experts. It has covered all the aspects of depth in the technical questions and delivery methodology of official Microsoft certification by following the complete exam syllabus. This certification questions will give you the most realistic experience in the real world exam.
Exam Details:
This Exam contains multiple choices, multi selection and true or false questions.
Exam Time Limit: 90 Minutes
Exam Syllabus:
Plan business intelligence (BI) infrastructure (15–20%)
·
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
·
Change binding options for partitions; choose the appropriate
Multidimensional OLAP (MOLAP), Relational OLAP (ROLAP), and Hybrid OLAP (HOLAP)
storage modes
·
Plan change management for a BI solution
·
Design an automation strategy
Design BI
infrastructure (15–20%)
·
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
·
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 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 new SSIS logging infrastructure (for example, information
available through the catalog views), validate data is balancing and
reconciling correctly
Design a reporting
solution (20–25%)
·
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
·
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
·
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
·
Choose the appropriate reporting services requirements (including
native mode and SharePoint mode)
·
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
Design BI data
models (30–35%)
·
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
·
Multidimensional modeling starting from a star or snowflake
schema, design relational modeling for a Data Mart
·
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 a data warehouse that supports many to many dimensions with
factless fact tables
·
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 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
Design an ETL
solution (10–15%)
·
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)
·
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
·
Avoid repeating configuration information entered in SSIS
packages, and use configuration files
How this exam is useful to you?
This exam is intended for the people who are preparing for the 70-467 Designing Business Intelligence Solutions with Microsoft SQL Server Certification. This exam is prepared exclusively as per the real certification exam. This will definitely help to check your skills before attempting the main exam. Also it will give the complete idea how main exam will be.
This exam will evaluate your skills and will give you report on how far you are skillful in 70-467 Designing Business Intelligence Solutions with Microsoft SQL Server certification exam.
In case you face any issues during the exam or you have any queries, email us at [email protected]
Wish you all the best for your certification exam and we are always ready to help you to get certified and grow in your career.
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Exam Details:
This Exam contains multiple choices, multi selection and true or false questions.
Exam Time Limit: 90 Minutes
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