SAP E_HANAAW_17 (SAP Certified Development Specialist - ABAP for SAP HANA 2.0) exam dumps vce, practice test questions, study guide & video training course to study and pass quickly and easily. SAP E_HANAAW_17 SAP Certified Development Specialist - ABAP for SAP HANA 2.0 exam dumps & practice test questions and answers. You need avanset vce exam simulator in order to study the SAP E_HANAAW_17 certification exam dumps & SAP E_HANAAW_17 practice test questions in vce format.

The ABAP on HANA Paradigm Shift and the E_HANAAW_17 Exam

The SAP Certified Development Specialist - ABAP for SAP HANA 2.0 certification, validated by passing the E_HANAAW_17 Exam, represents a pinnacle of achievement for experienced ABAP developers. This is not an associate-level credential; it is a specialist certification designed to verify that a developer has the advanced skills required to build and optimize ABAP applications that leverage the full power of the SAP HANA database. It confirms a deep understanding of the necessary architectural and programming mindset shift required when moving from traditional databases to an in-memory platform.

Passing the E_HANAAW_17 Exam signifies that a developer can do more than just write functional ABAP code. It proves they can write highly performant code that is specifically tailored for the HANA environment. The exam covers performance analysis tools, advanced ABAP and Open SQL syntax, and the two most important modern technologies: Core Data Services (CDS) and ABAP Managed Database Procedures (AMDPs). This series will provide a comprehensive guide to these advanced topics, preparing you for the challenges of this specialist certification.

Who is the Ideal Candidate for this Specialist Exam?

The E_HANAAW_17 Exam is specifically targeted at seasoned ABAP developers who already hold an associate-level certification or have equivalent project experience. The ideal candidate is someone who is comfortable with the fundamentals of ABAP development, including data dictionary objects, reports, and function modules, and is now tasked with working on an SAP system that runs on a HANA database, such as SAP S/4HANA. This certification is for the developer who needs to move beyond traditional programming techniques to embrace modern, performance-driven development.

This is not a certification for beginners in the SAP world. It assumes a solid foundation in the ABAP language and the classic development paradigm. The content is focused on the "delta" knowledge required to evolve from a traditional ABAP developer into an ABAP on HANA specialist. Project managers and solution architects who need a deep technical understanding of how to build performant applications on HANA will also find the knowledge required for the E_HANAAW_17 Exam to be extremely valuable.

The Traditional ABAP Paradigm: Data-to-Code

To understand the importance of the topics on the E_HANAAW_17 Exam, you must first understand the traditional ABAP programming paradigm that was used for decades. In a classic SAP system running on a traditional disk-based database, the transfer of data from the database to the application server was a relatively slow and expensive operation. Therefore, the guiding principle was "data-to-code." Developers were taught to select a broad set of data from the database, bring it to the application server, and then perform all the complex calculations, aggregations, and business logic within their ABAP code.

This approach minimized the load on the database, which was often the bottleneck of the entire system. ABAP code would frequently involve selecting raw data into an internal table and then looping through that table multiple times to process the information. While this was the correct approach for the underlying hardware of the time, this entire philosophy is turned on its head by the in-memory architecture of SAP HANA. The E_HANAAW_17 Exam is designed to test your ability to break free from this old way of thinking.

The New SAP HANA Paradigm: Code-to-Data

The SAP HANA database is an in-memory, column-oriented database with powerful parallel processing capabilities. This means that performing complex calculations and aggregations directly on the database is now incredibly fast. The bottleneck is no longer the database; it is the transfer of large amounts of data across the network to the application server. This leads to a complete reversal of the old paradigm. The new guiding principle, which is the central theme of the E_HANAAW_17 Exam, is "code-to-data."

The code-to-data paradigm dictates that you should push as much of the data-intensive logic as possible from the ABAP application layer down into the database layer. Instead of bringing millions of records to the application server to be filtered and aggregated, you should ask the database to perform the filtering and aggregation and only return the small, final result set. This minimizes data transfer and leverages the powerful calculation engines of HANA, leading to dramatic performance improvements.

Understanding the In-Memory Column Store

A key reason for the performance of SAP HANA, and a foundational concept for the E_HANAAW_17 Exam, is its use of a column-based data store. In a traditional row-based database, all the fields for a single record are stored together on disk. In a column-based database, the values for a single field across all records are stored together. This has profound implications for performance.

When you run a typical business query, you are usually only interested in a few columns from a table, but you need to scan many rows. In a column store, the database only needs to read the data for the specific columns you requested, dramatically reducing the amount of I/O required. Furthermore, since all the data in a single column is of the same type, it can be very efficiently compressed. This columnar architecture is what makes the in-memory calculations in HANA so incredibly fast.

An Overview of Key ABAP on HANA Technologies

To successfully implement the code-to-data paradigm, an ABAP developer needs to master a new set of tools and technologies. The E_HANAAW_17 Exam is structured around these key innovations. The first is the evolution of Open SQL. The standard ABAP database language has been significantly enhanced with new syntax that allows you to perform complex calculations, aggregations, and case statements directly within your SELECT statements. This is the first and often easiest way to push logic down to the database.

For more advanced data modeling and logic, you will use Core Data Services (CDS) Views. CDS is a powerful data definition language that allows you to build a rich, semantic data model directly in the database. For very complex, procedural logic that cannot be handled by SQL or CDS, you can use ABAP Managed Database Procedures (AMDPs). AMDPs allow you to write database procedures in HANA's native SQLScript language directly within your ABAP classes.

The Role of ABAP Development Tools (ADT) in Eclipse

The development environment for all modern ABAP on HANA technologies is not the classic SAP GUI. Instead, all new development is done in the ABAP Development Tools (ADT), which is a set of plug-ins for the Eclipse IDE. Your proficiency in using ADT is an implicit requirement for the E_HANAAW_17 Exam. While you can still use the classic tools for traditional ABAP objects, you cannot create or edit modern objects like CDS views or AMDPs from the SAP GUI.

ADT provides a much richer and more modern development experience, with features like advanced code completion, syntax highlighting, and tight integration with the ABAP transport system. It also includes powerful tools for performance analysis and debugging that are specifically designed for the HANA environment. Before you begin your detailed preparation for the E_HANAAW_17 Exam, you must ensure that you are comfortable and efficient working within the Eclipse-based ADT environment.

The Importance of Performance Analysis

The central theme of the E_HANAAW_17 Exam and the entire ABAP on HANA paradigm is performance. To write high-performing code, you must first be able to identify the performance bottlenecks in existing applications. Therefore, a deep knowledge of the available performance analysis tools is a critical skill for any developer working on SAP HANA. You cannot optimize what you cannot measure. The exam will test your ability to use these tools to analyze database access, identify inefficient SQL statements, and pinpoint areas in your code that need to be refactored.

This process involves more than just finding slow code; it involves understanding why it is slow. Is the application transferring too much data from the database? Is the database using an inefficient execution plan to run a query? Is the ABAP code looping unnecessarily instead of using a more powerful SQL statement? The tools discussed in this section are designed to help you answer these questions, and your proficiency with them is a core competency for the E_HANAAW_17 Exam.

A Deep Dive into the SQL Trace (ST05)

The SQL Trace, accessed via transaction ST05, has been a standard tool for ABAP developers for years, but its importance is even greater in the context of HANA. Your ability to use and interpret an SQL trace is a fundamental skill for the E_HANAAW_17 Exam. The trace allows you to record every single SQL statement that is executed on the database by a specific user or process. This provides a granular view of exactly how your application is interacting with the database.

When analyzing the trace, you are looking for several key indicators of poor performance. These include a large number of executions of the same SQL statement, often inside a loop, or statements that transfer a very large number of records. You can also see the exact duration of each statement's execution on the database. For the E_HANAAW_17 Exam, you should be comfortable with the entire workflow: activating the trace, running the application, deactivating the trace, and analyzing the resulting list of SQL statements.

Using the SQL Monitor (SQLM) for Proactive Analysis

While the SQL Trace is an excellent tool for analyzing a specific process in detail, it is not practical to run it all the time for your entire system. For a proactive, system-wide view of your database workload, you will use the SQL Monitor, which is accessed via transaction SQLM. Your understanding of the purpose and benefits of the SQL Monitor is a key topic for the E_HANAAW_17 Exam. The SQL Monitor runs continuously in the background on your production system and collects aggregated performance data for every unique SQL statement that is executed.

This allows you to easily identify the most expensive SQL statements in your entire system over a given period. You can see which statements are executed most frequently, which ones have the longest total execution time, and which ones read the most data. This information is invaluable for finding "low-hanging fruit" for optimization. The E_HANAAW_17 Exam will expect you to know how to use SQLM to find these performance hotspots and use that information to prioritize your optimization efforts.

The ABAP Test Cockpit (ATC) and Code Inspector

Preventing performance issues is always better than fixing them later. The ABAP Test Cockpit (ATC) and the older Code Inspector (SCI) are static code analysis tools that help you find potential problems in your code before it is even transported to a production system. The E_HANAAW_17 Exam requires you to be familiar with how these tools are used to check for HANA-specific performance issues. You can configure a check variant in these tools that includes a set of checks specifically related to performance on SAP HANA.

These checks can automatically find common anti-patterns in your code. For example, they can find SELECT statements inside a loop, SELECT * statements that fetch unnecessary columns, or the use of database table buffer settings that are not optimal for a HANA environment. Integrating these checks into your development process and quality gates is a best practice for maintaining a high-performing codebase, and it is a key competency for a development specialist.

Guided Performance Analysis in ADT

The ABAP Development Tools (ADT) in Eclipse provide a rich set of integrated tools for performance analysis that are directly accessible from your development environment. Your familiarity with these tools is an important part of preparing for the E_HANAAW_17 Exam. When you are in your ABAP code editor, you can right-click and run a profiler or an SQL trace on your code without having to switch back to the SAP GUI. The results are then displayed in a clean and integrated view within Eclipse.

One of the most powerful features is the Guided Performance Analysis tool. This tool can be used to analyze a specific SQL statement and provide you with detailed insights into its execution. It can show you the query's execution plan from the HANA database, which visually represents the steps the database took to retrieve the data. It can also suggest potential solutions, such as the creation of a secondary index, to improve the query's performance.

Understanding and Interpreting Query Execution Plans

When you execute an SQL query, the database has an optimizer that determines the most efficient way to access the data. The result of this process is called an execution plan. The ability to read and interpret a HANA execution plan is an advanced skill that is relevant for the E_HANAAW_17 Exam. The execution plan shows you exactly which operators the HANA database used, such as table scans, index searches, and joins, and the order in which they were performed.

By analyzing the plan, you can identify inefficiencies. For example, you might see that the database is performing a full table scan on a very large table when you expected it to use an index. This could indicate a problem with your query's WHERE clause or a missing index. While you are not expected to be a database administrator, a development specialist should be able to perform a basic analysis of an execution plan to understand the performance characteristics of their SQL statements.

The Single Transaction Analysis (SAT) Tool

Another powerful tool for performance analysis is the ABAP Runtime Analysis tool, which is accessed via transaction SAT. The E_HANAAW_17 Exam will expect you to understand the purpose of this tool. While the SQL Trace focuses only on the database interaction, SAT provides a holistic view of the entire execution of a program. It measures the time spent in both the ABAP processing on the application server and the database processing.

This allows you to determine where the majority of the time is being spent. If the analysis shows that 90% of the runtime is on the database, then you know you need to focus on optimizing your SQL statements. However, if it shows that 90% of the time is spent on the ABAP server, then you need to look for inefficiencies in your ABAP code, such as complex loops or inefficient internal table processing. This ability to differentiate between ABAP time and DB time is crucial for effective optimization.

The Evolution of Open SQL

The Open SQL language is the subset of SQL that is integrated directly into the ABAP language. For decades, it was a relatively simple language that was intentionally database-agnostic. However, with the introduction of SAP HANA, this has changed dramatically. The E_HANAAW_17 Exam requires you to be an expert in the modern, enhanced version of Open SQL that was introduced in ABAP 7.4 and significantly improved in 7.5. This new version is often referred to as the new Open SQL or ABAP SQL.

The goal of these enhancements is to allow developers to implement the code-to-data paradigm using a familiar language. The new syntax allows you to push many data-intensive calculations, which were previously done in ABAP loops, down to the database layer directly within your SELECT statement. Mastering this new syntax is the first and most important step in writing optimized code for SAP HANA, as it often provides a way to improve existing code without a complete redesign.

New Syntax: Inline Declarations and Expressions

One of the most visible changes in modern ABAP, and a key enabler for the new Open SQL, is the introduction of inline declarations. Your proficiency with this syntax is a baseline expectation for the E_HANAAW_17 Exam. In the past, you always had to declare your variables and internal tables at the top of your program. Now, you can declare them directly at the point where they are first used, such as in the INTO clause of a SELECT statement using the @DATA() syntax. This makes the code more concise and easier to read.

Alongside this, the new Open SQL allows for a wide range of expressions and functions to be used directly in the SELECT list. You can perform arithmetic calculations, use string functions like CONCAT, and implement conditional logic using CASE statements. For the E_HANAAW_17 Exam, you should be able to rewrite a piece of classic ABAP code, which uses a loop to perform a calculation, into a modern Open SQL statement that performs the same calculation directly in the database.

Advanced Aggregations and Grouping

A common requirement in business applications is to perform aggregations on data, such as calculating the sum of sales or counting the number of orders. The new Open SQL provides a rich set of features for this, and you must master them for the E_HANAAW_17 Exam. The GROUP BY clause is now a standard part of the language, allowing you to group your data based on specific fields. You can then use aggregate functions like SUM, COUNT, AVG, MIN, and MAX in your SELECT list.

Furthermore, the new Open SQL supports the HAVING clause, which allows you to filter the results of your query based on the result of an aggregate function. For example, you could write a query to find all the customers who have placed more than ten orders. This combination of GROUP BY and HAVING allows you to perform complex analytical queries in a single, powerful SQL statement, which is a core tenet of the code-to-data paradigm.

Using Common Table Expressions (CTEs)

For very complex queries that might involve multiple steps or subqueries, the new Open SQL introduced support for Common Table Expressions (CTEs), often referred to as the WITH clause. Your understanding of how to use CTEs is an advanced topic that is relevant for the E_HANAAW_17 Exam. A CTE allows you to define one or more temporary, named result sets within a single SQL statement. You can then reference these named result sets in the main part of your query.

This is extremely useful for breaking down a complex problem into a series of smaller, more logical steps. It can make your code much more readable and maintainable than using a deeply nested set of subqueries. For example, you could use one CTE to select and filter a set of sales orders, a second CTE to aggregate the data from the first one, and then the main query could join the results of the second CTE with customer data.

Performance Rules and Guidelines for ABAP on HANA

While the new language features are powerful, you still need to follow a set of best practices to ensure optimal performance. The E_HANAAW_17 Exam will test your knowledge of these performance rules and guidelines. The first and most important rule is to only select the columns you actually need. Avoid using SELECT *, as this can cause the database to read unnecessary data, which is especially inefficient in a column store.

Another key guideline is to provide a complete and specific WHERE clause to filter the data as much as possible at the database level. You should try to use conditions on indexed fields to help the database optimizer find the data quickly. You also need to understand how to use joins effectively and when to use alternatives like FOR ALL ENTRIES. A development specialist is expected to not only know the syntax but also how to apply it in the most performant way.

Avoiding Common Performance Anti-Patterns

Just as it is important to know the best practices, it is also crucial to be able to identify and avoid common performance anti-patterns. The E_HANAAW_17 Exam will expect you to recognize code that was written in the classic "data-to-code" style and understand why it is inefficient on HANA. The most common anti-pattern is selecting a large amount of data into an internal table and then using a LOOP statement with a WHERE clause or a CHECK statement to filter the data inside the loop.

This approach forces the transfer of a large amount of unnecessary data to the application server. The correct, HANA-optimized approach is to move that WHERE clause from the ABAP code directly into the SELECT statement's WHERE clause. Other anti-patterns include performing aggregations in a loop instead of using aggregate functions in the SQL statement and executing the same SELECT statement multiple times inside a loop.

The Role of Database Table Buffering

In the classic ABAP world, database table buffering was a key performance feature. It allowed you to cache the contents of small, frequently accessed tables in the memory of the application server to avoid repeated trips to the database. However, in the context of SAP HANA, the role of buffering has changed, and you need to understand this for the E_HANAAW_17 Exam. Since the entire database is already in memory with HANA, the performance benefit of application server buffering is significantly reduced.

In some cases, application server buffering can even be detrimental, as it can lead to stale data if the buffer is not synchronized correctly. While buffering is still used and supported, the recommendations for which tables to buffer and how to configure the buffering have changed. A development specialist should be able to analyze the buffering settings for a table and determine if they are appropriate for a HANA environment.

What are Core Data Services (CDS)?

Core Data Services (CDS) represent a fundamental shift in how data modeling is done in the SAP ecosystem, and they are a central and heavily weighted topic on the E_HANAAW_17 Exam. CDS is an infrastructure layer that allows you to define rich, semantic data models directly in the database, independent of any specific application. It is SAP's strategic technology for building the next generation of applications and analytics. These data models are often referred to as a Virtual Data Model (VDM).

Instead of defining a simple database view in the ABAP Dictionary (SE11), you use a special Data Definition Language (DDL) to create a CDS view. This DDL has a SQL-like syntax and is created and edited as a source code object in the ABAP Development Tools (ADT). A CDS view is much more powerful than a classic database view, as it allows you to define complex relationships, calculations, and metadata that can be leveraged by a variety of consuming applications.

ABAP CDS Views vs. HANA CDS Views

When you begin learning about CDS, you will encounter two different flavors, and it is crucial to understand the distinction for the E_HANAAW_17 Exam. There are HANA CDS views, which are created in the HANA development environment and are specific to the HANA platform. Then there are ABAP CDS views, which are what this exam focuses on. ABAP CDS views are created in the ABAP application layer using ADT and are managed by the ABAP Dictionary and the ABAP transport system.

While both use a similar syntax, ABAP CDS is the recommended and strategic approach for all ABAP-based applications, including SAP S/4HANA. The key benefit of using ABAP CDS is that it is database-agnostic. While it is optimized to run on HANA, the definition itself is part of the ABAP layer. This means that, in theory, the same ABAP CDS view could run on any database that SAP supports. The E_HANAAW_17 Exam is exclusively concerned with ABAP CDS.

Creating a Basic CDS View

The process of creating a CDS view is a practical skill that you must have for the E_HANAAW_17 Exam. All CDS development is done in the ABAP Development Tools (ADT) for Eclipse. You start by creating a new Data Definition object in your ABAP package. This will open a source code editor where you will write your CDS view definition using the Data Definition Language (DDL). The basic structure of a view involves defining the view name, the data source it is selecting from (such as a database table), and the list of fields.

You can create aliases for your fields, define calculated fields using arithmetic expressions, and use a WHERE clause to filter the data. Once you have written the code for your view, you activate it. Upon activation, two objects are created: a database view in the underlying HANA database and a corresponding ABAP Dictionary view that you can see in transaction SE11. This dictionary view allows your CDS view to be consumed by standard ABAP programs.

Advanced CDS Syntax: Joins and Associations

A simple projection on a single table is useful, but the real power of CDS comes from its ability to combine data from multiple tables. The E_HANAAW_17 Exam will test your knowledge of the advanced syntax for this. Like standard SQL, CDS allows you to use different types of joins, such as inner joins and left outer joins, to combine data sources. You define the join condition using the ON clause, just as you would in Open SQL.

However, CDS introduces a more powerful and semantic way to define relationships between data sources called an association. An association defines a relationship between two CDS views, similar to a foreign key. You can then expose this association in your view definition. When the view is consumed, the consumer can choose to follow this association to retrieve fields from the related view using a simple path expression. This provides a more flexible and on-demand way of joining data compared to a classic join.

The Power of Annotations in CDS

One of the key features that makes CDS so powerful, and a critical topic for the E_HANAAW_17 Exam, is the use of annotations. Annotations are pieces of metadata that you add to your CDS view definition to describe its semantic properties or to provide instructions for consuming frameworks. These annotations are written directly in the DDL code and start with the @ symbol.

There are many different types of annotations. For example, there are a set of Analytics annotations that you can use to specify that a certain field represents a measure or a dimension, which is used by analytical reporting tools. There are also a set of OData annotations that you can use to automatically expose your CDS view as a RESTful OData service, which is the standard way of building Fiori applications. Your ability to understand and apply these key annotations is essential.

Building a Virtual Data Model (VDM)

The concept of the Virtual Data Model (VDM) is SAP's best practice for how to structure your CDS views to create a stable, reusable, and understandable data model. Your understanding of the VDM principles is a key architectural concept for the E_HANAAW_17 Exam. The VDM is based on a layered approach. The lowest layer consists of Basic views. These views are simple projections on the physical database tables and are not intended for direct consumption. They serve to hide the underlying table structure.

The next layer consists of Composite views. These views are built on top of the basic views and are where you implement the main business logic, such as joins and calculations. The top layer consists of Consumption views. These views are built on top of the composite views and are specifically designed to meet the needs of a particular application, such as an analytical query or a Fiori app. This layered approach promotes reuse and insulates your applications from changes in the underlying database tables.

Consuming CDS Views in ABAP Programs

Once you have created a CDS view, you need to be able to consume it in your ABAP programs. This is a practical skill that is required for the E_HANAAW_17 Exam. Because a CDS view automatically generates a corresponding ABAP Dictionary view upon activation, you can consume it using a standard Open SQL SELECT statement, just as you would with any other database table or view. You simply use the name of the CDS view in the FROM clause of your SELECT.

This seamless integration means that you can easily incorporate the powerful, pre-aggregated, and filtered data from your CDS views into your reports, function modules, and other ABAP objects. The E_HANAAW_17 Exam will expect you to be able to write the ABAP code required to read data from a CDS view and process it in an internal table, demonstrating your ability to bridge the gap between the new data modeling world and traditional ABAP programming.

What are ABAP Managed Database Procedures (AMDPs)?

While the new Open SQL and CDS views are powerful enough to handle most data-intensive logic, there are some scenarios that require complex, procedural logic that cannot be expressed declaratively. For these cases, SAP provides ABAP Managed Database Procedures (AMDPs). A deep, conceptual understanding of AMDPs is a core requirement for the specialist-level E_HANAAW_17 Exam. An AMDP is a special method within a global ABAP class that is implemented directly in the native language of the underlying database.

For an SAP HANA database, this means the procedure is written in SQLScript. The key benefit of the AMDP framework is that while the implementation is a database procedure, its lifecycle is fully managed by the ABAP system. This means it is created, edited, and transported as part of an ABAP class, providing a seamless integration into the standard ABAP development and quality management processes. The E_HANAAW_17 Exam will test your understanding of this framework.

The AMDP Framework: Classes and Methods

The process of creating an AMDP is a key technical skill for the E_HANAAW_17 Exam. All AMDP development is done within a global ABAP class in the ABAP Development Tools (ADT). To create an AMDP, you first define a standard ABAP class. This class must then implement a special marker interface, IF_AMDP_MARKER_HDB. This interface tells the ABAP runtime that the class may contain database procedures for the HANA database.

Within this class, you define a method as you normally would, specifying its importing and exporting parameters. However, in the method definition, you add the keywords BY DATABASE PROCEDURE FOR HDB LANGUAGE SQLSCRIPT. This tells the system that the implementation of this method is not written in ABAP but in SQLScript. The implementation of the method is then written between the METHOD and ENDMETHOD statements, and it must be valid SQLScript code.

Writing SQLScript within an AMDP

SQLScript is the native scripting language of the SAP HANA database. It is an extension of SQL and includes features that allow you to write procedural logic, such as variable declarations, loops, and conditional statements. The E_HANAAW_17 Exam requires you to have a foundational understanding of SQLScript syntax and how it is used within an AMDP. Inside an AMDP method, you can write complex queries, call HANA's built-in function libraries, and manipulate data using imperative logic.

A common use case for an AMDP is to perform a series of complex calculations that involve intermediate result sets. You can use SQLScript to select data into a local table variable, perform some transformations on it, and then join that result with another table to produce the final output, which is then returned to the calling ABAP program through the method's exporting parameters. The E_HANAAW_17 Exam will test your ability to recognize valid SQLScript constructs within the context of an AMDP.

When to Use AMDPs vs. CDS or Open SQL

One of the most important questions for a developer on HANA, and a key topic for the E_HANAAW_17 Exam, is deciding which technology to use for a given problem. You have three main tools for implementing the code-to-data paradigm: the new Open SQL, CDS views, and AMDPs. A development specialist must be able to choose the right tool for the job. The general rule is to use the simplest and most declarative tool that can solve the problem.

For most standard data retrieval and simple calculations, the new Open SQL is the best choice. For data modeling, defining relationships, and creating reusable data sources for applications, CDS views are the strategic and preferred solution. You should only resort to using an AMDP when you have very complex, procedural logic that cannot be expressed in either Open SQL or CDS. AMDPs are the most powerful but also the most complex and database-specific option.

Consuming Native HANA Objects

In some scenarios, you may have pre-existing development artifacts that were built directly in the SAP HANA development environment, such as a native HANA Calculation View. The E_HANAAW_17 Exam expects you to have a high-level understanding of how these native objects can be consumed from your ABAP programs. To do this, you can create a special object in the ABAP Dictionary called an External View.

An External View is essentially a proxy object that you create in the ABAP layer that points to a native view in the HANA database. Once you have created and activated this external view, you can use it in your Open SQL SELECT statements just as you would with any other ABAP Dictionary table or view. This provides a bridge that allows you to leverage the logic built by native HANA developers directly within your ABAP applications.

Final Preparation Strategy for the E_HANAAW_17 Exam

As you prepare for the E_HANAAW_17 Exam, a focused strategy is key. This is a specialist exam, so a deep understanding is required. Your final weeks should be spent solidifying your knowledge in the three core technology pillars: the new Open SQL, CDS views, and AMDPs. Use the official exam blueprint as your guide and be honest about your weak areas. Spend extra time in your lab environment building complex CDS views with associations and writing AMDPs to solve procedural problems.

Practice questions are essential for testing your knowledge and getting used to the exam format. For every question you get wrong, make it a point to go back to the documentation or your lab and master the underlying concept. Do not just memorize answers. The exam will test your ability to apply your knowledge to solve problems, so a deep, practical understanding is far more valuable than rote memorization.

Conclusion

Passing the E_HANAAW_17 Exam and earning the title of a certified ABAP for SAP HANA Development Specialist is a significant milestone that sets you apart from other developers. It is a clear and verifiable signal to employers and clients that you have mastered the modern programming paradigm required for the S/4HANA era. This expertise is in extremely high demand as more and more companies migrate to SAP's flagship in-memory platform.

This certification can open up new career opportunities, lead to more challenging and rewarding project roles, and increase your earning potential. More importantly, the knowledge you gain during the preparation process will make you a fundamentally better and more effective developer. You will be able to build applications that are not just functional but also incredibly performant, delivering real business value by leveraging the full speed and power of the SAP HANA platform.

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