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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security and Governance | 15% | - Section Access and data security - Application and stream security - Data governance best practices |
| Topic 2: Data Modeling and Transformation | 30% | - Resolving synthetic keys and circular references - Designing efficient data models - Data transformation, cleansing, and enrichment - Using QVD files and incremental loading |
| Topic 3: Performance Optimization and Validation | 10% | - Optimizing data model and script performance - Validating data integrity and consistency - Monitoring and improving application performance |
| Topic 4: Scripting and Data Load Editor | 25% | - Variables, functions, and expressions - Debugging and troubleshooting scripts - Managing data load scripts - Script syntax and control statements |
| Topic 5: Qlik Sense Architecture and Data Connections | 20% | - Managing connections and data sources - Qlik Sense platform architecture - Data connectivity (files, databases, web sources, APIs) |



Beziehen Sie sich auf die Exponate
Geschäftsanalysten melden Datenprobleme im Feld "Wert" einer Tabelle seit dem letzten erneuten Laden der Daten. Woran liegt das Problem?
Correct Answer: C 🗳️
Eine Organisation im Gesundheitswesen benötigt eine App, um Patiententreffen, Patientenlaboraufträge und Patientenmedikamente zu verfolgen.
* Begegnungen, Laboraufträge und Medikamentendaten werden in drei separaten Tabellen gespeichert, die durch PatientID verknüpft sind
* Die Patienten-ID-Werte in allen drei Tabellen sind vollständig korrekt
* Patienten haben möglicherweise Begegnungen ohne Laboranweisungen oder Medikamente
Der Datenarchitekt muss sicherstellen, dass die Anzahl der Laboraufträge des Patienten korrekt ist. Welche Methode sollte der Datenarchitekt anwenden, um diese Anforderung zu erfüllen?
Correct Answer: D 🗳️
Schauen Sie sich das Exponat an.
Ein Datenarchitekt lädt Auftragsdaten für eine globale Verkaufsorganisation. Die Bestelldetails enthalten 100 Millionen Zeilen.
Der Datenarchitekt muss nur die Daten für den Geschäftsbereich Nordamerika laden. Welche WHERE-Klausel sollte der Datenarchitekt im LOAD-Skript für Bestelldetails verwenden?
Correct Answer: C 🗳️
Siehe die Ausstellung.
Das gezeigte Datenmodell enthält einen synthetischen Schlüssel für Informationen, die den tatsächlichen Umsatz und den Budgetumsatz eines multinationalen Unternehmens enthalten. Als Geschäftsanforderung müssen Benutzer in der Lage sein, einen Drilldown nach Abteilung und Land durchzuführen. Daten dürfen nicht verloren gehen.
Aufgrund von Datenqualitätsproblemen sind einige Abteilungen NICHT in den Verkaufs- und Budgettabellen enthalten.
Der Datenarchitekt benötigt eine Methode zum Eliminieren synthetischer Schlüssel, die das Datenmodell mit der schnellsten Leistung generiert. Welche Methode sollte der Datenarchitekt verwenden?
Correct Answer: A 🗳️
Siehe die Ausstellung.
Ein Datenarchitekt muss die Werte für das Verkaufsjahr von "Verkauf 2016" und "Verkauf 2017" umwandeln, um nur die Jahreswerte "2016" und "201T" in der Tabelle anzuzeigen.
Mit welchen beiden Funktionen kann der Datenarchitekt dies im Skript ausführen? (Wählen Sie zwei aus.)
A)
B)
C)
D)
E)
Correct Answer: C,D 🗳️
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