Question 943 of 1,733
Design of SAP Workloads on AWShardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is to redistribute the tables across nodes using HANA’s table partitioning features. In a scale-out architecture, SAP HANA relies on hash-based or round-robin partitioning to distribute data evenly across worker nodes; when this distribution becomes skewed, query performance degrades because some nodes handle disproportionate workloads. The targeted fix is to use ALTER TABLE ... REORGANIZE or reload the data, which forces HANA to re-partition and rebalance the rows across all nodes. On the AWS Certified SAP on AWS Specialty PAS-C01 exam, this question tests your understanding that adding nodes or scaling instance types does not correct existing data skew—only a redistribution operation addresses the root cause. A common trap is to confuse hardware scaling with data-level tuning, so remember the memory tip: “Reorganize, not resize” to fix uneven distribution.

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. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 running SAP HANA on AWS using a scale-out architecture with multiple worker nodes. The system is used for real-time analytics. Recently, query performance has degraded. The HANA administrator notices that the data is not evenly distributed across nodes. What is the best course of action?

Clue words in this question

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

  • Clue: "best"

    Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

Question 1hardmultiple 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

Redistribute the tables across nodes using HANA's table partitioning features.

HANA scale-out relies on table partitioning and distribution to ensure even data distribution. Redistributing tables using ALTER TABLE with REORGANIZE or reloading data can fix imbalance. Option A (add nodes) may help but does not fix existing imbalance. Option B (change instance type) is not directly related. Option D (memory) is not the issue. Option C is the targeted fix.

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.

  • Redistribute the tables across nodes using HANA's table partitioning features.

    Why this is correct

    Partitioning and redistribution ensures even data distribution.

    Clue confirmation

    The clue word "best" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Increase the memory allocation for the HANA database.

    Why it's wrong here

    Memory allocation does not affect data distribution.

  • Add more worker nodes to the scale-out cluster to distribute the load.

    Why it's wrong here

    Adding nodes does not automatically rebalance existing data.

  • Upgrade the EC2 instance type of all nodes to a memory-optimized type.

    Why it's wrong here

    Memory increase does not solve distribution problem.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

What to study next

Got this wrong? Here's your next step.

Identify which PAS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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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: Redistribute the tables across nodes using HANA's table partitioning features. — HANA scale-out relies on table partitioning and distribution to ensure even data distribution. Redistributing tables using ALTER TABLE with REORGANIZE or reloading data can fix imbalance. Option A (add nodes) may help but does not fix existing imbalance. Option B (change instance type) is not directly related. Option D (memory) is not the issue. Option C is the targeted fix.

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

Identify which PAS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

Are there clue words in this question I should notice?

Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 20, 2026

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This PAS-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PAS-C01 exam.