Question 1,390 of 1,733
Design of SAP Workloads on AWSmediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is to use SAP Landscape Transformation (SLT) to replicate data in real-time after the initial load, then perform a final delta sync during the cutover window. This approach works because SLT uses trigger-based replication to capture ongoing changes from the source Oracle database and apply them to the target SAP HANA, decoupling the lengthy 12-hour initial data load from the constrained 8-hour cutover window. On the AWS Certified SAP on AWS Specialty PAS-C01 exam, this scenario tests your understanding of how to minimize downtime during an SAP BW migration to HANA, specifically by leveraging SLT replication to handle the delta sync after the bulk migration via SWPM. A common trap is assuming you can compress the initial load into the cutover window, but the 1 Gbps bandwidth and 5 TB data make that impossible. Memory tip: think “SLT = Sync Last Trickle” — the initial load is the big push, SLT handles the final trickle of changes to keep downtime minimal.

PAS-C01 Design of SAP Workloads on AWS Practice Question

This PAS-C01 practice question tests your understanding of design of sap workloads on aws. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company is migrating its SAP Business Warehouse (BW) system to AWS. The source system runs on an on-premises IBM AIX server with an Oracle database. The target AWS environment will use SAP HANA as the database. The migration tool is SAP Software Provisioning Manager (SWPM). The company has a requirement to minimize downtime during the migration. The SAP BW system has 5 TB of data. The network bandwidth between on-premises and AWS is 1 Gbps. The migration team plans to use AWS Direct Connect for the data transfer. They estimate that the initial data load will take approximately 12 hours. However, the cutover window is limited to 8 hours. What should the migration team do to meet the cutover window?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "minimum / minimize"

    Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

Question 1mediummultiple choice
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Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use SAP Landscape Transformation (SLT) to replicate data in real-time after the initial load, and then perform a final delta sync during the cutover window.

Option B is correct because SAP Landscape Transformation (SLT) can replicate data in near real-time from the source Oracle database to the target SAP HANA using trigger-based replication. After the initial 12-hour data load is completed before the cutover window, SLT captures ongoing changes and applies them during the final delta sync within the 8-hour cutover window, minimizing downtime. This approach decouples the lengthy initial load from the limited cutover period, meeting the requirement.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use AWS DataSync to accelerate the data transfer and then import into HANA.

    Why it's wrong here

    DataSync is not designed for SAP database migration.

  • Use SAP Landscape Transformation (SLT) to replicate data in real-time after the initial load, and then perform a final delta sync during the cutover window.

    Why this is correct

    SLT enables delta replication, reducing cutover time.

    Clue confirmation

    The clue word "minimum / minimize" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Perform a HANA system replication from the source to the target after the initial load.

    Why it's wrong here

    HANA system replication is not supported from Oracle to HANA.

  • Request a higher bandwidth Direct Connect connection to reduce the initial load time to under 8 hours.

    Why it's wrong here

    Bandwidth upgrade may not be possible quickly and may not solve the entire issue.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may assume increasing network bandwidth (Option D) is the only solution to meet the cutover window, overlooking the fact that the initial data load time is dominated by database export and import processing, not just network transfer speed.

Detailed technical explanation

How to think about this question

SAP Landscape Transformation (SLT) uses a trigger-based replication mechanism that captures changes at the database level via database triggers or log-based capture, depending on the source database. For Oracle, SLT typically uses database triggers to track INSERT, UPDATE, and DELETE operations, which are then transferred to the SAP HANA target using RFC (Remote Function Call) communication. In a real-world migration, the initial load can be performed in parallel with ongoing business operations, and the final delta sync applies only the changes accumulated during the cutover window, often completing in minutes rather than hours.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A healthcare organisation deploys an application with a public-facing web tier and a private database tier. The database subnet has no public IP and only accepts connections from the web tier's security group. Questions like this test whether you can design cloud network isolation using VNets/VPCs, subnets, and security group rules.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PAS-C01 question test?

Design of SAP Workloads on AWS — This question tests Design of SAP Workloads on AWS — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use SAP Landscape Transformation (SLT) to replicate data in real-time after the initial load, and then perform a final delta sync during the cutover window. — Option B is correct because SAP Landscape Transformation (SLT) can replicate data in near real-time from the source Oracle database to the target SAP HANA using trigger-based replication. After the initial 12-hour data load is completed before the cutover window, SLT captures ongoing changes and applies them during the final delta sync within the 8-hour cutover window, minimizing downtime. This approach decouples the lengthy initial load from the limited cutover period, meeting the requirement.

What should I do if I get this PAS-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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